diff --git a/pkgdown.yml b/pkgdown.yml index 7bb7fee9..28f255ca 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 2.19.2 pkgdown: 2.0.7 pkgdown_sha: ~ articles: {} -last_built: 2023-09-08T18:15Z +last_built: 2023-09-11T10:42Z urls: reference: https://zhanghao-njmu.github.io/SCP/reference article: https://zhanghao-njmu.github.io/SCP/articles diff --git a/reference/AnnotateFeatures.html b/reference/AnnotateFeatures.html index 27af718f..508de5a4 100644 --- a/reference/AnnotateFeatures.html +++ b/reference/AnnotateFeatures.html @@ -86,13 +86,6 @@

Examples#> Preparing database: GeneType #> Preparing database: Enzyme #> Preparing database: TF -#> Install package: "openxlsx" ... -#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")' -#> for details. -#> Replacement repositories: -#> CRAN: https://cloud.r-project.org -#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) -#> Installing package(s) 'BiocVersion', 'openxlsx' #> Preparing database: CSPA #> Preparing database: VerSeDa #> Connect to the Ensembl archives... diff --git a/reference/CellCorHeatmap.html b/reference/CellCorHeatmap.html index ee232e2c..4d91d51a 100644 --- a/reference/CellCorHeatmap.html +++ b/reference/CellCorHeatmap.html @@ -132,22 +132,22 @@

ArgumentsExamples

data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 18:18:19.756761] Start Standard_SCP
-#> [2023-09-08 18:18:19.757943] Checking srtList... ...
+#> [2023-09-11 10:45:11.310673] Start Standard_SCP
+#> [2023-09-11 10:45:11.311841] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 18:18:20.852577] Finished checking.
-#> [2023-09-08 18:18:20.852751] Perform ScaleData on the data...
-#> [2023-09-08 18:18:21.019699] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 18:18:21.877362] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 18:18:21.994089] Reorder clusters...
-#> [2023-09-08 18:18:22.278738] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 10:45:12.396329] Finished checking.
+#> [2023-09-11 10:45:12.396498] Perform ScaleData on the data...
+#> [2023-09-11 10:45:12.561935] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 10:45:13.417661] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 10:45:13.533912] Reorder clusters...
+#> [2023-09-11 10:45:13.816596] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 18:18:28.887112] Standard_SCP done
-#> Elapsed time: 9.13 secs 
+#> [2023-09-11 10:45:20.255335] Standard_SCP done
+#> Elapsed time: 8.94 secs 
 ht1 <- CellCorHeatmap(srt_query = pancreas_sub, query_group = "SubCellType")
 #> Use the HVF to calculate distance metric.
 #> Use 2000 features to calculate distance.
@@ -165,8 +165,8 @@ 
Examplespanc8_sub <- RenameFeatures(panc8_sub, newnames = genenames)
 #> Rename features for the assay: RNA
 panc8_sub <- check_srtMerge(panc8_sub, batch = "tech")[["srtMerge"]]
-#> [2023-09-08 18:18:31.886292] Spliting srtMerge into srtList by column tech... ...
-#> [2023-09-08 18:18:33.175932] Checking srtList... ...
+#> [2023-09-11 10:45:23.214941] Spliting srtMerge into srtList by column tech... ...
+#> [2023-09-11 10:45:23.76388] Checking srtList... ...
 #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/5 of the srtList...
 #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
@@ -179,7 +179,7 @@ 
Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 18:18:36.700664] Finished checking.
+#> [2023-09-11 10:45:27.957665] Finished checking.
 
 ht2 <- CellCorHeatmap(
   srt_query = pancreas_sub, srt_ref = panc8_sub, nlabel = 3, label_cutoff = 0.6,
diff --git a/reference/CellDimPlot.html b/reference/CellDimPlot.html
index d9014219..748fcaee 100644
--- a/reference/CellDimPlot.html
+++ b/reference/CellDimPlot.html
@@ -725,22 +725,22 @@ 
Examples
 # Show neighbors graphs on the plot
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 18:19:33.247423] Start Standard_SCP
-#> [2023-09-08 18:19:33.247596] Checking srtList... ...
+#> [2023-09-11 10:46:23.400131] Start Standard_SCP
+#> [2023-09-11 10:46:23.400302] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 18:19:34.225352] Finished checking.
-#> [2023-09-08 18:19:34.22553] Perform ScaleData on the data...
-#> [2023-09-08 18:19:34.359853] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 18:19:35.124002] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 18:19:35.235267] Reorder clusters...
-#> [2023-09-08 18:19:35.422022] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 10:46:24.33092] Finished checking.
+#> [2023-09-11 10:46:24.331095] Perform ScaleData on the data...
+#> [2023-09-11 10:46:24.439269] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 10:46:25.178287] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 10:46:25.287985] Reorder clusters...
+#> [2023-09-11 10:46:25.471558] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 18:19:42.748722] Standard_SCP done
-#> Elapsed time: 9.5 secs 
+#> [2023-09-11 10:46:32.609609] Standard_SCP done
+#> Elapsed time: 9.21 secs 
 CellDimPlot(pancreas_sub, group.by = "CellType", reduction = "UMAP", graph = "Standardpca_SNN")
 
 CellDimPlot(pancreas_sub, group.by = "CellType", reduction = "UMAP", graph = "Standardpca_SNN", edge_color = "grey80")
diff --git a/reference/CellDimPlot3D.html b/reference/CellDimPlot3D.html
index 8fcbefc9..9ccd2a86 100644
--- a/reference/CellDimPlot3D.html
+++ b/reference/CellDimPlot3D.html
@@ -144,29 +144,29 @@ 
ArgumentsExamples

     
data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 18:22:26.617954] Start Standard_SCP
-#> [2023-09-08 18:22:26.618158] Checking srtList... ...
+#> [2023-09-11 10:49:13.485985] Start Standard_SCP
+#> [2023-09-11 10:49:13.486188] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 18:22:27.72339] Finished checking.
-#> [2023-09-08 18:22:27.723588] Perform ScaleData on the data...
-#> [2023-09-08 18:22:27.855982] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 18:22:28.577815] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 18:22:28.688404] Reorder clusters...
-#> [2023-09-08 18:22:28.866647] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 10:49:14.587304] Finished checking.
+#> [2023-09-11 10:49:14.587492] Perform ScaleData on the data...
+#> [2023-09-11 10:49:14.694097] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 10:49:15.434025] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 10:49:15.544848] Reorder clusters...
+#> [2023-09-11 10:49:15.723271] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 18:22:35.949528] Standard_SCP done
-#> Elapsed time: 9.33 secs 
+#> [2023-09-11 10:49:22.673551] Standard_SCP done
+#> Elapsed time: 9.19 secs 
 CellDimPlot3D(pancreas_sub, group.by = "SubCellType", reduction = "StandardpcaUMAP3D")
 

-
+
 pancreas_sub <- RunSlingshot(pancreas_sub, group.by = "SubCellType", reduction = "StandardpcaUMAP3D")
 CellDimPlot3D(pancreas_sub, group.by = "SubCellType", reduction = "StandardpcaUMAP3D", lineages = "Lineage1")
 

-

+
diff --git a/reference/CellScoring.html b/reference/CellScoring.html index ece8d78b..6b5d81ea 100644 --- a/reference/CellScoring.html +++ b/reference/CellScoring.html @@ -94,12 +94,12 @@

Examples) #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2 -#> [2023-09-08 18:22:39.287178] Start CellScoring +#> [2023-09-11 10:49:26.046947] Start CellScoring #> Workers: 1 #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:22:39.537988] CellScoring done -#> Elapsed time:0.25 secs +#> [2023-09-11 10:49:26.252448] CellScoring done +#> Elapsed time:0.21 secs CellDimPlot(pancreas_sub, "CC_classification") FeatureDimPlot(pancreas_sub, "CC_G2M") diff --git a/reference/DynamicHeatmap.html b/reference/DynamicHeatmap.html index e70125cc..89be9263 100644 --- a/reference/DynamicHeatmap.html +++ b/reference/DynamicHeatmap.html @@ -185,7 +185,7 @@

Examples#> Warning: Removed 8 rows containing missing values (`geom_path()`). pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c("Lineage1", "Lineage2"), n_candidates = 200) -#> [2023-09-08 18:23:08.544034] Start RunDynamicFeatures +#> [2023-09-11 10:49:55.31549] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... @@ -194,8 +194,8 @@

Examples#> Calculate dynamic features for Lineage2... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:23:31.517344] RunDynamicFeatures done -#> Elapsed time:22.97 secs +#> [2023-09-11 10:50:18.178586] RunDynamicFeatures done +#> Elapsed time:22.86 secs ht1 <- DynamicHeatmap( srt = pancreas_sub, lineages = "Lineage1", @@ -220,7 +220,7 @@

Examples features = c("Sox9", "Neurod2", "Isl1", "Rbp4", "Pyy", "S_score", "G2M_score"), cell_annotation = "SubCellType" ) -#> [2023-09-08 18:23:34.85185] Start RunDynamicFeatures +#> [2023-09-11 10:50:21.500119] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2 #> Warning: Negative values detected! @@ -228,8 +228,8 @@

Examples#> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:23:36.47529] RunDynamicFeatures done -#> Elapsed time:1.62 secs +#> [2023-09-11 10:50:23.101084] RunDynamicFeatures done +#> Elapsed time:1.6 secs #> Some features were missing in at least one lineage: #> Isl1,Neurod2,Pyy,Rbp4,Sox9... #> 'magick' package is suggested to install to give better rasterization. @@ -259,8 +259,8 @@

Examples pancreas_sub <- AnnotateFeatures(pancreas_sub, species = "Mus_musculus", db = c("TF", "CSPA")) #> Species: Mus_musculus -#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 18:15:33.475803 -#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 18:15:43.822046 +#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-11 10:42:42.167306 +#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-11 10:42:45.334488 ht4 <- DynamicHeatmap( srt = pancreas_sub, lineages = c("Lineage1", "Lineage2"), @@ -339,7 +339,7 @@

Examples#> 'magick' package is suggested to install to give better rasterization. #> #> Set `ht_opt$message = FALSE` to turn off this message. -#> [2023-09-08 18:23:59.885751] Start Enrichment +#> [2023-09-11 10:50:46.813008] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: GO_BP @@ -358,8 +358,8 @@

Examples#> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:26:04.544675] Enrichment done -#> Elapsed time:2.08 mins +#> [2023-09-11 10:52:56.409866] Enrichment done +#> Elapsed time:2.16 mins #> The size of the heatmap will be fixed as some elements are not scalable. ht6$plot diff --git a/reference/DynamicPlot.html b/reference/DynamicPlot.html index ea5bd263..dfb0c9c0 100644 --- a/reference/DynamicPlot.html +++ b/reference/DynamicPlot.html @@ -111,15 +111,15 @@

Examples group.by = "SubCellType", compare_features = TRUE ) -#> [2023-09-08 18:27:15.709469] Start RunDynamicFeatures +#> [2023-09-11 10:54:09.430965] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:27:17.566956] RunDynamicFeatures done -#> Elapsed time:1.86 secs +#> [2023-09-11 10:54:11.227781] RunDynamicFeatures done +#> Elapsed time:1.8 secs DynamicPlot( srt = pancreas_sub, @@ -129,24 +129,24 @@

Examples compare_lineages = TRUE, compare_features = FALSE ) -#> [2023-09-08 18:27:18.151803] Start RunDynamicFeatures +#> [2023-09-11 10:54:11.800775] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:27:19.981042] RunDynamicFeatures done -#> Elapsed time:1.83 secs -#> [2023-09-08 18:27:19.982836] Start RunDynamicFeatures +#> [2023-09-11 10:54:13.520733] RunDynamicFeatures done +#> Elapsed time:1.72 secs +#> [2023-09-11 10:54:13.522686] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:27:21.596685] RunDynamicFeatures done -#> Elapsed time:1.61 secs +#> [2023-09-11 10:54:15.090027] RunDynamicFeatures done +#> Elapsed time:1.57 secs DynamicPlot( srt = pancreas_sub, @@ -156,24 +156,24 @@

Examples compare_lineages = FALSE, compare_features = FALSE ) -#> [2023-09-08 18:27:22.936706] Start RunDynamicFeatures +#> [2023-09-11 10:54:16.417272] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:27:24.675797] RunDynamicFeatures done -#> Elapsed time:1.74 secs -#> [2023-09-08 18:27:24.677631] Start RunDynamicFeatures +#> [2023-09-11 10:54:18.114286] RunDynamicFeatures done +#> Elapsed time:1.7 secs +#> [2023-09-11 10:54:18.116116] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:27:26.293172] RunDynamicFeatures done -#> Elapsed time:1.62 secs +#> [2023-09-11 10:54:19.687859] RunDynamicFeatures done +#> Elapsed time:1.57 secs diff --git a/reference/EnrichmentPlot-19.png b/reference/EnrichmentPlot-19.png index dfc7172e..96a9783a 100644 Binary files a/reference/EnrichmentPlot-19.png and b/reference/EnrichmentPlot-19.png differ diff --git a/reference/EnrichmentPlot.html b/reference/EnrichmentPlot.html index 70ba59ca..64ff22ad 100644 --- a/reference/EnrichmentPlot.html +++ b/reference/EnrichmentPlot.html @@ -153,23 +153,23 @@

Examplesdata("pancreas_sub") pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-08 18:27:32.679928] Start DEtest +#> [2023-09-11 10:54:25.894313] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:27:36.0643] DEtest done -#> Elapsed time:3.38 secs +#> [2023-09-11 10:54:29.2677] DEtest done +#> Elapsed time:3.37 secs pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = "GO_BP", group_by = "CellType", species = "Mus_musculus") -#> [2023-09-08 18:27:36.066902] Start Enrichment +#> [2023-09-11 10:54:29.270421] Start Enrichment #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:28:20.377749] Enrichment done -#> Elapsed time:44.31 secs +#> [2023-09-11 10:55:12.814481] Enrichment done +#> Elapsed time:43.54 secs EnrichmentPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Endocrine", plot_type = "bar") EnrichmentPlot(pancreas_sub, @@ -237,7 +237,7 @@

Examples pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = c("MP", "DO"), group_by = "CellType", convert_species = TRUE, species = "Mus_musculus") -#> [2023-09-08 18:28:57.537892] Start Enrichment +#> [2023-09-11 10:55:52.199165] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MP @@ -245,8 +245,8 @@

Examples#> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:29:25.350299] Enrichment done -#> Elapsed time:27.81 secs +#> [2023-09-11 10:56:21.294849] Enrichment done +#> Elapsed time:29.1 secs EnrichmentPlot(pancreas_sub, db = c("MP", "DO"), group_by = "CellType", group_use = "Endocrine", ncol = 1) diff --git a/reference/FeatureDimPlot.html b/reference/FeatureDimPlot.html index 4fcd9820..f74d7f2a 100644 --- a/reference/FeatureDimPlot.html +++ b/reference/FeatureDimPlot.html @@ -468,22 +468,22 @@

Examples
library(dplyr)
 data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 18:29:43.942577] Start Standard_SCP
-#> [2023-09-08 18:29:43.942781] Checking srtList... ...
+#> [2023-09-11 10:56:39.8385] Start Standard_SCP
+#> [2023-09-11 10:56:39.838704] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 18:29:45.104409] Finished checking.
-#> [2023-09-08 18:29:45.104615] Perform ScaleData on the data...
-#> [2023-09-08 18:29:45.218847] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 18:29:45.994193] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 18:29:46.110302] Reorder clusters...
-#> [2023-09-08 18:29:46.322314] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 10:56:40.922136] Finished checking.
+#> [2023-09-11 10:56:40.92234] Perform ScaleData on the data...
+#> [2023-09-11 10:56:41.141297] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 10:56:41.885335] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 10:56:41.999165] Reorder clusters...
+#> [2023-09-11 10:56:42.204903] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 18:29:54.744274] Standard_SCP done
-#> Elapsed time: 10.8 secs 
+#> [2023-09-11 10:56:50.429968] Standard_SCP done
+#> Elapsed time: 10.59 secs 
 FeatureDimPlot(pancreas_sub, features = "G2M_score", reduction = "UMAP")
 
 FeatureDimPlot(pancreas_sub, features = "G2M_score", reduction = "UMAP", bg_cutoff = -Inf)
diff --git a/reference/FeatureDimPlot3D.html b/reference/FeatureDimPlot3D.html
index ef812e1a..2ff9bd11 100644
--- a/reference/FeatureDimPlot3D.html
+++ b/reference/FeatureDimPlot3D.html
@@ -141,25 +141,25 @@ 
ArgumentsExamples

     
data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 18:30:19.39726] Start Standard_SCP
-#> [2023-09-08 18:30:19.397457] Checking srtList... ...
+#> [2023-09-11 10:57:15.309062] Start Standard_SCP
+#> [2023-09-11 10:57:15.309278] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 18:30:20.399337] Finished checking.
-#> [2023-09-08 18:30:20.399538] Perform ScaleData on the data...
-#> [2023-09-08 18:30:20.514284] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 18:30:21.300165] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 18:30:21.415524] Reorder clusters...
-#> [2023-09-08 18:30:21.602351] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 10:57:16.292195] Finished checking.
+#> [2023-09-11 10:57:16.292402] Perform ScaleData on the data...
+#> [2023-09-11 10:57:16.487089] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 10:57:17.229202] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 10:57:17.34346] Reorder clusters...
+#> [2023-09-11 10:57:17.529036] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 18:30:29.784066] Standard_SCP done
-#> Elapsed time: 10.39 secs 
+#> [2023-09-11 10:57:25.417392] Standard_SCP done
+#> Elapsed time: 10.11 secs 
 FeatureDimPlot3D(pancreas_sub, features = c("Ghrl", "Ins1", "Gcg", "Ins2"), reduction = "StandardpcaUMAP3D")
 

-

+
diff --git a/reference/FeatureHeatmap.html b/reference/FeatureHeatmap.html index f1ef21b6..282d3825 100644 --- a/reference/FeatureHeatmap.html +++ b/reference/FeatureHeatmap.html @@ -170,13 +170,13 @@

Examplesdata("pancreas_sub") pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-08 18:30:31.875475] Start DEtest +#> [2023-09-11 10:57:27.364408] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:30:35.071478] DEtest done -#> Elapsed time:3.2 secs +#> [2023-09-11 10:57:30.518544] DEtest done +#> Elapsed time:3.15 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht1 <- FeatureHeatmap( srt = pancreas_sub, features = de_filter$gene, group.by = "CellType", @@ -209,23 +209,23 @@

Examples#> 'magick' package is suggested to install to give better rasterization. #> #> Set `ht_opt$message = FALSE` to turn off this message. -#> [2023-09-08 18:30:56.371411] Start Enrichment +#> [2023-09-11 10:57:52.174999] Start Enrichment #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:31:31.498333] Enrichment done -#> Elapsed time:35.13 secs +#> [2023-09-11 10:58:27.41245] Enrichment done +#> Elapsed time:35.24 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot pancreas_sub <- AnnotateFeatures(pancreas_sub, species = "Mus_musculus", db = c("TF", "CSPA")) #> Species: Mus_musculus -#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 18:15:33.475803 -#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 18:15:43.822046 +#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-11 10:42:42.167306 +#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-11 10:42:45.334488 ht4 <- FeatureHeatmap( srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = "CellType", heatmap_palette = "viridis", diff --git a/reference/FeatureStatPlot.html b/reference/FeatureStatPlot.html index d72207d8..d860068d 100644 --- a/reference/FeatureStatPlot.html +++ b/reference/FeatureStatPlot.html @@ -166,14 +166,6 @@

ExamplesFeatureStatPlot(pancreas_sub, stat.by = c("G2M_score", "Fev"), group.by = "SubCellType", split.by = "Phase", add_box = TRUE, add_trend = TRUE) FeatureStatPlot(pancreas_sub, stat.by = c("G2M_score", "Fev"), group.by = "SubCellType", split.by = "Phase", comparisons = TRUE) -#> Install package: "ggpubr" ... -#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")' -#> for details. -#> Replacement repositories: -#> CRAN: https://cloud.r-project.org -#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) -#> Installing package(s) 'ggpubr' -#> also installing the dependencies ‘corrplot’, ‘ggsci’, ‘polynom’, ‘rstatix’ #> Warning: Detected more than 2 groups. Use multiple_method for comparison #> Warning: Detected more than 2 groups. Use multiple_method for comparison diff --git a/reference/GSEAPlot.html b/reference/GSEAPlot.html index 4d2548a1..232562b4 100644 --- a/reference/GSEAPlot.html +++ b/reference/GSEAPlot.html @@ -102,18 +102,18 @@

Examplesdata("pancreas_sub") pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-08 18:34:09.362484] Start DEtest +#> [2023-09-11 11:00:47.896688] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:39:11.633261] DEtest done -#> Elapsed time:5.04 mins +#> [2023-09-11 11:05:48.485821] DEtest done +#> Elapsed time:5.01 mins pancreas_sub <- RunGSEA(pancreas_sub, group_by = "CellType", db = "GO_BP", species = "Mus_musculus") -#> [2023-09-08 18:39:11.638249] Start GSEA +#> [2023-09-11 11:05:48.490904] Start GSEA #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform GSEA... #> | | | 0% | | | 0% | |==============================================================================================================| 100% #> @@ -127,8 +127,8 @@

Examples#> #> | |==============================================================================================================| 100% #> -#> [2023-09-08 18:44:39.370959] GSEA done -#> Elapsed time:5.46 mins +#> [2023-09-11 11:11:17.023004] GSEA done +#> Elapsed time:5.48 mins GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Ductal") GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Ductal", id_use = "GO:0006412") diff --git a/reference/GroupHeatmap.html b/reference/GroupHeatmap.html index 428dc479..36686166 100644 --- a/reference/GroupHeatmap.html +++ b/reference/GroupHeatmap.html @@ -238,13 +238,13 @@

Examples pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-08 18:45:39.558987] Start DEtest +#> [2023-09-11 11:12:26.340955] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:45:43.830111] DEtest done -#> Elapsed time:4.27 secs +#> [2023-09-11 11:12:29.519321] DEtest done +#> Elapsed time:3.18 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht2 <- GroupHeatmap( @@ -266,23 +266,23 @@

Examples#> 'magick' package is suggested to install to give better rasterization. #> #> Set `ht_opt$message = FALSE` to turn off this message. -#> [2023-09-08 18:45:45.319673] Start Enrichment +#> [2023-09-11 11:12:31.090782] Start Enrichment #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:46:20.084621] Enrichment done -#> Elapsed time:34.76 secs +#> [2023-09-11 11:13:04.283988] Enrichment done +#> Elapsed time:33.19 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot pancreas_sub <- AnnotateFeatures(pancreas_sub, species = "Mus_musculus", db = c("TF", "CSPA")) #> Species: Mus_musculus -#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 18:15:33.475803 -#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 18:15:43.822046 +#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-11 10:42:42.167306 +#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-11 10:42:45.334488 de_top <- de_filter %>% group_by(gene) %>% top_n(1, avg_log2FC) %>% diff --git a/reference/Integration_SCP.html b/reference/Integration_SCP.html index dfb337c3..08293b36 100644 --- a/reference/Integration_SCP.html +++ b/reference/Integration_SCP.html @@ -197,9 +197,9 @@

Examplespanc8_sub <- Integration_SCP( srtMerge = panc8_sub, batch = "tech", integration_method = "Uncorrected" ) -#> [2023-09-08 18:47:59.126944] Start Uncorrected_integrate -#> [2023-09-08 18:47:59.146624] Spliting srtMerge into srtList by column tech... ... -#> [2023-09-08 18:47:59.624029] Checking srtList... ... +#> [2023-09-11 11:14:40.598916] Start Uncorrected_integrate +#> [2023-09-11 11:14:40.612235] Spliting srtMerge into srtList by column tech... ... +#> [2023-09-11 11:14:41.060745] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... @@ -212,33 +212,33 @@

Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 -#> [2023-09-08 18:48:02.321412] Finished checking. -#> [2023-09-08 18:48:02.802424] Perform integration(Uncorrected) on the data... -#> [2023-09-08 18:48:02.805027] Start Standard_SCP -#> [2023-09-08 18:48:02.805223] Checking srtList... ... +#> [2023-09-11 11:14:43.760455] Finished checking. +#> [2023-09-11 11:14:44.304588] Perform integration(Uncorrected) on the data... +#> [2023-09-11 11:14:44.306074] Start Standard_SCP +#> [2023-09-11 11:14:44.306224] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Number of available HVF: 2000 -#> [2023-09-08 18:48:03.270582] Finished checking. -#> [2023-09-08 18:48:03.270813] Perform ScaleData on the data... -#> [2023-09-08 18:48:03.431212] Perform linear dimension reduction (pca) on the data... -#> [2023-09-08 18:48:04.492089] Perform FindClusters (louvain) on the data... -#> [2023-09-08 18:48:04.618693] Reorder clusters... -#> [2023-09-08 18:48:04.806595] Perform nonlinear dimension reduction (umap) on the data... +#> [2023-09-11 11:14:44.716404] Finished checking. +#> [2023-09-11 11:14:44.71663] Perform ScaleData on the data... +#> [2023-09-11 11:14:44.852253] Perform linear dimension reduction (pca) on the data... +#> [2023-09-11 11:14:46.147959] Perform FindClusters (louvain) on the data... +#> [2023-09-11 11:14:46.270643] Reorder clusters... +#> [2023-09-11 11:14:46.455036] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input -#> [2023-09-08 18:48:14.535911] Standard_SCP done -#> Elapsed time: 11.73 secs -#> [2023-09-08 18:48:14.804509] Uncorrected_integrate done -#> Elapsed time: 15.68 secs +#> [2023-09-11 11:14:55.950037] Standard_SCP done +#> Elapsed time: 11.64 secs +#> [2023-09-11 11:14:56.216255] Uncorrected_integrate done +#> Elapsed time: 15.62 secs CellDimPlot(panc8_sub, group.by = c("tech", "celltype")) panc8_sub <- Integration_SCP( srtMerge = panc8_sub, batch = "tech", integration_method = "Seurat" ) -#> [2023-09-08 18:48:15.41279] Start Seurat_integrate -#> [2023-09-08 18:48:15.427832] Spliting srtMerge into srtList by column tech... ... -#> [2023-09-08 18:48:15.898881] Checking srtList... ... +#> [2023-09-11 11:14:56.810561] Start Seurat_integrate +#> [2023-09-11 11:14:56.825317] Spliting srtMerge into srtList by column tech... ... +#> [2023-09-11 11:14:57.295155] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... @@ -251,18 +251,18 @@

Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 -#> [2023-09-08 18:48:18.734345] Finished checking. -#> [2023-09-08 18:48:19.509577] Perform FindIntegrationAnchors on the data... -#> [2023-09-08 18:48:41.757103] Perform integration(Seurat) on the data... -#> [2023-09-08 18:48:51.294447] Perform ScaleData on the data... -#> [2023-09-08 18:48:51.477062] Perform linear dimension reduction (pca) on the data... -#> [2023-09-08 18:48:52.754349] Perform FindClusters (louvain) on the data... -#> [2023-09-08 18:48:52.922222] Reorder clusters... -#> [2023-09-08 18:48:53.14122] Perform nonlinear dimension reduction (umap) on the data... +#> [2023-09-11 11:15:00.065003] Finished checking. +#> [2023-09-11 11:15:00.51335] Perform FindIntegrationAnchors on the data... +#> [2023-09-11 11:15:24.271317] Perform integration(Seurat) on the data... +#> [2023-09-11 11:15:32.885684] Perform ScaleData on the data... +#> [2023-09-11 11:15:33.029192] Perform linear dimension reduction (pca) on the data... +#> [2023-09-11 11:15:34.089337] Perform FindClusters (louvain) on the data... +#> [2023-09-11 11:15:34.253438] Reorder clusters... +#> [2023-09-11 11:15:34.480045] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input -#> [2023-09-08 18:49:02.782259] Seurat_integrate done -#> Elapsed time: 47.37 secs +#> [2023-09-11 11:15:43.777685] Seurat_integrate done +#> Elapsed time: 46.97 secs CellDimPlot(panc8_sub, group.by = c("tech", "celltype")) diff --git a/reference/ListDB.html b/reference/ListDB.html index 9781249d..6066f251 100644 --- a/reference/ListDB.html +++ b/reference/ListDB.html @@ -66,7 +66,7 @@

ExamplesListDB(species = "Mus_musculus") #> identifier version comment #> 1 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 6.0.0 nterm:5960|Mus_musculus-DO -#> 2 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 2023-09-04 08:03 nterm:10294|Mus_musculus-MP +#> 2 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 2023-09-11 06:00 nterm:10294|Mus_musculus-MP #> 3 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 3.17.0 nterm:16027|Mus_musculus-GO_BP #> 4 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 3.17.0 nterm:56|Mus_musculus-Enzyme #> 5 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 3.17.0 nterm:11|Mus_musculus-GeneType @@ -75,18 +75,18 @@

Examples#> 8 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 CSPA nterm:1|Mus_musculus-CSPA #> 9 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson) 0.1.7 AnimalTFDB4 nterm:2|Mus_musculus-TF #> timestamp date db_version db_name -#> 1 1694197756 2023-09-08 18:29:16.181716 6.0.0 nterm:5960 Mus_musculus-DO -#> 2 1694197751 2023-09-08 18:29:10.543634 2023-09-04 08:03 nterm:10294 Mus_musculus-MP -#> 3 1694197532 2023-09-08 18:25:31.828718 3.17.0 nterm:16027 Mus_musculus-GO_BP -#> 4 1694197085 2023-09-08 18:18:04.596418 3.17.0 nterm:56 Mus_musculus-Enzyme -#> 5 1694197078 2023-09-08 18:17:57.975793 3.17.0 nterm:11 Mus_musculus-GeneType -#> 6 1694197021 2023-09-08 18:17:01.38767 3.17.0 nterm:23 Mus_musculus-Chromosome -#> 7 1694196969 2023-09-08 18:16:09.254712 VerSeDa nterm:1 Mus_musculus-VerSeDa -#> 8 1694196944 2023-09-08 18:15:43.822046 CSPA nterm:1 Mus_musculus-CSPA -#> 9 1694196933 2023-09-08 18:15:33.475803 AnimalTFDB4 nterm:2 Mus_musculus-TF +#> 1 1694429772 2023-09-11 10:56:12.422143 6.0.0 nterm:5960 Mus_musculus-DO +#> 2 1694429767 2023-09-11 10:56:06.655559 2023-09-11 06:00 nterm:10294 Mus_musculus-MP +#> 3 1694429545 2023-09-11 10:52:24.793652 3.17.0 nterm:16027 Mus_musculus-GO_BP +#> 4 1694429096 2023-09-11 10:44:55.78985 3.17.0 nterm:56 Mus_musculus-Enzyme +#> 5 1694429090 2023-09-11 10:44:50.057727 3.17.0 nterm:11 Mus_musculus-GeneType +#> 6 1694429041 2023-09-11 10:44:00.619535 3.17.0 nterm:23 Mus_musculus-Chromosome +#> 7 1694428992 2023-09-11 10:43:12.443445 VerSeDa nterm:1 Mus_musculus-VerSeDa +#> 8 1694428965 2023-09-11 10:42:45.334488 CSPA nterm:1 Mus_musculus-CSPA +#> 9 1694428962 2023-09-11 10:42:42.167306 AnimalTFDB4 nterm:2 Mus_musculus-TF #> file #> 1 /home/runner/.cache/R/R.cache/792dd0f1ca33ed8236cf6e82be723937.Rcache -#> 2 /home/runner/.cache/R/R.cache/bc3123b03f0a175d52acb01b33815f41.Rcache +#> 2 /home/runner/.cache/R/R.cache/e3a96754e4b5d986a6017b896f7a93d7.Rcache #> 3 /home/runner/.cache/R/R.cache/42b4d036008b98824957461afba8e2f3.Rcache #> 4 /home/runner/.cache/R/R.cache/008eb78c5dea0f0a9c643a671db7ba86.Rcache #> 5 /home/runner/.cache/R/R.cache/feae616aade8debb4c248b537cbdaf65.Rcache diff --git a/reference/ProjectionPlot.html b/reference/ProjectionPlot.html index 05593a75..b57a5555 100644 --- a/reference/ProjectionPlot.html +++ b/reference/ProjectionPlot.html @@ -79,7 +79,7 @@

Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"] srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"] srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat") -#> [2023-09-08 18:50:02.026297] Start Seurat_integrate +#> [2023-09-11 11:16:42.071512] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c("celltype", "tech")) #> Error in DefaultReduction(srt): Unable to find any reductions. diff --git a/reference/RunCSSMap.html b/reference/RunCSSMap.html index a348236a..22d15c49 100644 --- a/reference/RunCSSMap.html +++ b/reference/RunCSSMap.html @@ -77,38 +77,13 @@

Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"] srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"] srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "CSS") -#> [2023-09-08 18:50:21.67187] Start CSS_integrate +#> [2023-09-11 11:16:53.047422] Start CSS_integrate #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "CSS"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c("celltype", "tech")) #> Error in DefaultReduction(srt): Unable to find any reductions. # Projection srt_query <- RunCSSMap(srt_query = srt_query, srt_ref = srt_ref, ref_css = "CSS", ref_umap = "CSSUMAP2D") -#> Install package: "simspec" ... -#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")' -#> for details. -#> Replacement repositories: -#> CRAN: https://cloud.r-project.org -#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) -#> Installing github package(s) 'quadbiolab/simspec' -#> Warning: package ‘quadbiolab/simspec’ is not available for this version of R -#> -#> A version of this package for your version of R might be available elsewhere, -#> see the ideas at -#> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages -#> Using github PAT from envvar GITHUB_PAT -#> Downloading GitHub repo quadbiolab/simspec@HEAD -#> ── R CMD build ───────────────────────────────────────────────────────────────────────────────────────────────────────── -#> * checking for file ‘/tmp/RtmpKXLDce/remotes1f9f21f47120/quadbio-simspec-680488c/DESCRIPTION’ ... OK -#> * preparing ‘simspec’: -#> * checking DESCRIPTION meta-information ... OK -#> * checking for LF line-endings in source and make files and shell scripts -#> * checking for empty or unneeded directories -#> Omitted ‘LazyData’ from DESCRIPTION -#> * building ‘simspec_0.0.0.9000.tar.gz’ -#> -#> Installing package into ‘/home/runner/work/_temp/Library’ -#> (as ‘lib’ is unspecified) #> Error: Cannot find 'CSS' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = "celltype", ref_group = "celltype") #> Error: Cannot find 'ref.embeddings' in this Seurat object diff --git a/reference/RunDEtest.html b/reference/RunDEtest.html index bdfc4329..850da46c 100644 --- a/reference/RunDEtest.html +++ b/reference/RunDEtest.html @@ -116,13 +116,13 @@

Examples pancreas_sub <- RunDEtest(pancreas_sub, group_by = "SubCellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-08 18:51:58.079929] Start DEtest +#> [2023-09-11 11:18:09.566448] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:52:03.032733] DEtest done -#> Elapsed time:4.95 secs +#> [2023-09-11 11:18:14.028181] DEtest done +#> Elapsed time:4.46 secs AllMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(AllMarkers$group1) #> @@ -148,13 +148,13 @@

Examples pancreas_sub <- RunDEtest(pancreas_sub, group_by = "SubCellType", markers_type = "paired") -#> [2023-09-08 18:52:05.381767] Start DEtest +#> [2023-09-11 11:18:16.244045] Start DEtest #> Workers: 1 #> Find paired markers(wilcox) among 8 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:52:26.29118] DEtest done -#> Elapsed time:20.91 secs +#> [2023-09-11 11:18:36.280496] DEtest done +#> Elapsed time:20.04 secs PairedMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$PairedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(PairedMarkers$group1) #> @@ -169,9 +169,9 @@

Examples data("panc8_sub") panc8_sub <- Integration_SCP(panc8_sub, batch = "tech", integration_method = "Seurat") -#> [2023-09-08 18:52:34.848038] Start Seurat_integrate -#> [2023-09-08 18:52:34.860752] Spliting srtMerge into srtList by column tech... ... -#> [2023-09-08 18:52:35.318368] Checking srtList... ... +#> [2023-09-11 11:18:44.940101] Start Seurat_integrate +#> [2023-09-11 11:18:44.952297] Spliting srtMerge into srtList by column tech... ... +#> [2023-09-11 11:18:45.402273] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... @@ -184,23 +184,23 @@

Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 -#> [2023-09-08 18:52:38.124264] Finished checking. -#> [2023-09-08 18:52:38.450419] Perform FindIntegrationAnchors on the data... -#> [2023-09-08 18:52:59.922838] Perform integration(Seurat) on the data... -#> [2023-09-08 18:53:07.105266] Perform ScaleData on the data... -#> [2023-09-08 18:53:08.644606] Perform linear dimension reduction (pca) on the data... -#> [2023-09-08 18:53:09.72287] Perform FindClusters (louvain) on the data... -#> [2023-09-08 18:53:09.88877] Reorder clusters... -#> [2023-09-08 18:53:10.086577] Perform nonlinear dimension reduction (umap) on the data... +#> [2023-09-11 11:18:48.211344] Finished checking. +#> [2023-09-11 11:18:48.659393] Perform FindIntegrationAnchors on the data... +#> [2023-09-11 11:19:11.456027] Perform integration(Seurat) on the data... +#> [2023-09-11 11:19:19.512834] Perform ScaleData on the data... +#> [2023-09-11 11:19:19.654579] Perform linear dimension reduction (pca) on the data... +#> [2023-09-11 11:19:20.787142] Perform FindClusters (louvain) on the data... +#> [2023-09-11 11:19:20.951039] Reorder clusters... +#> [2023-09-11 11:19:21.134693] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input -#> [2023-09-08 18:53:20.610306] Seurat_integrate done -#> Elapsed time: 45.76 secs +#> [2023-09-11 11:19:31.337471] Seurat_integrate done +#> Elapsed time: 46.4 secs CellDimPlot(panc8_sub, group.by = c("celltype", "tech")) panc8_sub <- RunDEtest(panc8_sub, group_by = "celltype", grouping.var = "tech", markers_type = "conserved") -#> [2023-09-08 18:53:21.407538] Start DEtest +#> [2023-09-11 11:19:32.112208] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 13 groups... #> | | | 0% @@ -229,8 +229,8 @@

Examples#> Warning: Only a single group was tested #> | |==============================================================================================================| 100% #> -#> [2023-09-08 18:53:52.196574] DEtest done -#> Elapsed time:30.79 secs +#> [2023-09-11 11:20:02.657488] DEtest done +#> Elapsed time:30.55 secs ConservedMarkers1 <- filter(panc8_sub@tools$DEtest_celltype$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers1$group1) #> @@ -252,7 +252,7 @@

Examples panc8_sub <- RunDEtest(panc8_sub, group_by = "tech", grouping.var = "celltype", markers_type = "conserved") -#> [2023-09-08 18:53:59.953263] Start DEtest +#> [2023-09-11 11:20:10.365828] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 5 groups... #> | | | 0% @@ -284,8 +284,8 @@

Examples#> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> | |==============================================================================================================| 100% #> -#> [2023-09-08 18:54:23.384567] DEtest done -#> Elapsed time:23.43 secs +#> [2023-09-11 11:20:33.685683] DEtest done +#> Elapsed time:23.32 secs ConservedMarkers2 <- filter(panc8_sub@tools$DEtest_tech$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers2$group1) #> @@ -303,7 +303,7 @@

Examples panc8_sub <- RunDEtest(panc8_sub, group_by = "celltype", grouping.var = "tech", markers_type = "disturbed") -#> [2023-09-08 18:54:26.086118] Start DEtest +#> [2023-09-11 11:20:36.234669] Start DEtest #> Workers: 1 #> Find disturbed markers(wilcox) among 13 groups... #> | | | 0% | | | 0% | |==============================================================================================================| 100% @@ -332,8 +332,8 @@

Examples#> #> | |==============================================================================================================| 100% #> -#> [2023-09-08 18:54:52.400946] DEtest done -#> Elapsed time:26.31 secs +#> [2023-09-11 11:21:03.008959] DEtest done +#> Elapsed time:26.77 secs DisturbedMarkers <- filter(panc8_sub@tools$DEtest_celltype$DisturbedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1 & var1 == "smartseq2") table(DisturbedMarkers$group1) #> diff --git a/reference/RunDynamicEnrichment.html b/reference/RunDynamicEnrichment.html index dbc1bcc2..323df660 100644 --- a/reference/RunDynamicEnrichment.html +++ b/reference/RunDynamicEnrichment.html @@ -91,14 +91,14 @@

Examples#> Warning: Removed 8 rows containing missing values (`geom_path()`). pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = "Lineage1", n_candidates = 200) -#> [2023-09-08 18:55:36.698031] Start RunDynamicFeatures +#> [2023-09-11 11:21:46.730611] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 199 #> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:55:48.464666] RunDynamicFeatures done -#> Elapsed time:11.77 secs +#> [2023-09-11 11:21:57.717302] RunDynamicFeatures done +#> Elapsed time:10.99 secs ht1 <- DynamicHeatmap( srt = pancreas_sub, lineages = "Lineage1", @@ -121,28 +121,28 @@

Examples db = "GO_BP", species = "Mus_musculus" ) -#> [2023-09-08 18:55:51.24343] Start RunDynamicFeatures +#> [2023-09-11 11:22:00.246172] Start RunDynamicFeatures #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2738 -#> [2023-09-08 18:55:56.182624] Start CellScoring +#> [2023-09-11 11:22:05.397151] Start CellScoring #> Workers: 1 #> Warning: Feature names cannot have underscores ('_'), replacing with dashes ('-') #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from go_bp_ to gobp_ -#> [2023-09-08 18:58:21.194501] CellScoring done -#> Elapsed time:2.42 mins -#> [2023-09-08 18:58:21.19684] Start RunDynamicFeatures +#> [2023-09-11 11:24:28.185801] CellScoring done +#> Elapsed time:2.38 mins +#> [2023-09-11 11:24:28.188118] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2738 #> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 18:58:58.428244] RunDynamicFeatures done -#> Elapsed time:37.23 secs -#> [2023-09-08 18:58:58.428892] RunDynamicEnrichment done -#> Elapsed time:3.12 mins +#> [2023-09-11 11:25:06.423359] RunDynamicFeatures done +#> Elapsed time:38.24 secs +#> [2023-09-11 11:25:06.423984] RunDynamicEnrichment done +#> Elapsed time:3.1 mins ht2 <- DynamicHeatmap( srt = pancreas_sub, assay = "GO_BP", diff --git a/reference/RunDynamicFeatures.html b/reference/RunDynamicFeatures.html index 57b0dc76..9230b899 100644 --- a/reference/RunDynamicFeatures.html +++ b/reference/RunDynamicFeatures.html @@ -79,7 +79,7 @@

Examples#> Warning: Removed 8 rows containing missing values (`geom_path()`). pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c("Lineage1", "Lineage2"), n_candidates = 200) -#> [2023-09-08 18:59:34.780096] Start RunDynamicFeatures +#> [2023-09-11 11:25:26.011414] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... @@ -88,8 +88,8 @@

Examples#> Calculate dynamic features for Lineage2... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-08 19:00:00.130301] RunDynamicFeatures done -#> Elapsed time:25.35 secs +#> [2023-09-11 11:25:51.114722] RunDynamicFeatures done +#> Elapsed time:25.1 secs names(pancreas_sub@tools$DynamicFeatures_Lineage1) #> [1] "DynamicFeatures" "raw_matrix" "fitted_matrix" "upr_matrix" "lwr_matrix" "libsize" #> [7] "lineages" "family" diff --git a/reference/RunEnrichment.html b/reference/RunEnrichment.html index dd1d4b2b..11da107d 100644 --- a/reference/RunEnrichment.html +++ b/reference/RunEnrichment.html @@ -156,26 +156,26 @@

Examples
data("pancreas_sub")
 pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType")
 #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data.
-#> [2023-09-08 19:00:14.130743] Start DEtest
+#> [2023-09-11 11:26:01.232647] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 5 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:00:17.381903] DEtest done
-#> Elapsed time:3.25 secs
+#> [2023-09-11 11:26:04.425897] DEtest done
+#> Elapsed time:3.19 secs
 pancreas_sub <- RunEnrichment(
   srt = pancreas_sub, group_by = "CellType", DE_threshold = "p_val_adj < 0.05",
   db = "GO_BP", species = "Mus_musculus"
 )
-#> [2023-09-08 19:00:17.384704] Start Enrichment
+#> [2023-09-11 11:26:04.428584] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652
 #> Permform enrichment...
 #> 
  |                                                                                                                    
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  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:01:03.465732] Enrichment done
-#> Elapsed time:46.08 secs
+#> [2023-09-11 11:26:47.928581] Enrichment done
+#> Elapsed time:43.5 secs
 EnrichmentPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
@@ -185,15 +185,15 @@ 
Examples  srt = pancreas_sub, group_by = "CellType", DE_threshold = "p_val_adj < 0.05",
   db = c("MSigDB", "MSigDB_MH"), species = "Mus_musculus"
 )
-#> [2023-09-08 19:01:03.71386] Start Enrichment
+#> [2023-09-11 11:26:48.178432] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
 #> Preparing database: MSigDB
 #> Permform enrichment...
 #> 
  |                                                                                                                    
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  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:02:46.372842] Enrichment done
-#> Elapsed time:1.71 mins
+#> [2023-09-11 11:28:29.976308] Enrichment done
+#> Elapsed time:1.7 mins
 EnrichmentPlot(pancreas_sub, db = "MSigDB", group_by = "CellType", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
@@ -205,15 +205,15 @@ 
Examples
 # Remove redundant GO terms
 pancreas_sub <- RunEnrichment(srt = pancreas_sub, group_by = "CellType", db = "GO_BP", GO_simplify = TRUE, species = "Mus_musculus")
-#> [2023-09-08 19:02:46.924116] Start Enrichment
+#> [2023-09-11 11:28:30.534852] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652
 #> Permform enrichment...
 #> 
  |                                                                                                                    
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  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:04:14.963242] Enrichment done
-#> Elapsed time:1.47 mins
+#> [2023-09-11 11:29:59.595545] Enrichment done
+#> Elapsed time:1.48 mins
 EnrichmentPlot(pancreas_sub, db = "GO_BP_sim", group_by = "CellType", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
@@ -226,25 +226,10 @@ 
Examples  db_combine = TRUE,
   species = "Mus_musculus"
 )
-#> [2023-09-08 19:04:15.230992] Start Enrichment
+#> [2023-09-11 11:29:59.871961] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 18:29:10.543634
-#> Install package: "PFAM.db" ...
-#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")'
-#> for details.
-#> Replacement repositories:
-#>     CRAN: https://cloud.r-project.org
-#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16)
-#> Installing package(s) 'PFAM.db'
-#> 
-#> Install package: "reactome.db" ...
-#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")'
-#> for details.
-#> Replacement repositories:
-#>     CRAN: https://cloud.r-project.org
-#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16)
-#> Installing package(s) 'reactome.db'
+#> Loading cached db: MP version:2023-09-11 06:00 nterm:10294 created:2023-09-11 10:56:06.655559
 #> Preparing database: KEGG
 #> Preparing database: WikiPathway
 #> Preparing database: Reactome
@@ -301,8 +286,8 @@ 
Examples#> Permform enrichment...
 #> 
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  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:08:08.183927] Enrichment done
-#> Elapsed time:3.88 mins
+#> [2023-09-11 11:31:38.420422] Enrichment done
+#> Elapsed time:1.64 mins
 EnrichmentPlot(pancreas_sub, db = "Combined", group_by = "CellType", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
@@ -311,15 +296,15 @@ 
Examples# Or use "geneID" and "geneID_groups" as input to run enrichment
 de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05)
 enrich_out <- RunEnrichment(geneID = de_df[["gene"]], geneID_groups = de_df[["group1"]], db = "GO_BP", species = "Mus_musculus")
-#> [2023-09-08 19:08:08.516197] Start Enrichment
+#> [2023-09-11 11:31:38.745922] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652
 #> Permform enrichment...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:08:53.739353] Enrichment done
-#> Elapsed time:45.22 secs
+#> [2023-09-11 11:32:25.585264] Enrichment done
+#> Elapsed time:46.84 secs
 EnrichmentPlot(res = enrich_out, db = "GO_BP", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
diff --git a/reference/RunGSEA.html b/reference/RunGSEA.html
index 9655fd29..78f4b898 100644
--- a/reference/RunGSEA.html
+++ b/reference/RunGSEA.html
@@ -154,21 +154,21 @@ 
Examples
data("pancreas_sub")
 pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType", only.pos = FALSE, fc.threshold = 1)
 #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data.
-#> [2023-09-08 19:08:57.717326] Start DEtest
+#> [2023-09-11 11:32:29.929962] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 5 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:14:00.778666] DEtest done
-#> Elapsed time:5.05 mins
+#> [2023-09-11 11:37:30.168542] DEtest done
+#> Elapsed time:5 mins
 pancreas_sub <- RunGSEA(pancreas_sub,
   group_by = "CellType", DE_threshold = "p_val_adj < 0.05",
   scoreType = "std", db = "GO_BP", species = "Mus_musculus"
 )
-#> [2023-09-08 19:14:00.781523] Start GSEA
+#> [2023-09-11 11:37:30.171542] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652
 #> Permform GSEA...
 #> 
  |                                                                                                                    
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  |==============================================================================================================| 100%
 #> 
@@ -182,8 +182,8 @@ 
Examples#> 
 #> 
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  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:19:29.074286] GSEA done
-#> Elapsed time:5.47 mins
+#> [2023-09-11 11:42:53.295972] GSEA done
+#> Elapsed time:5.39 mins
 GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", plot_type = "comparison")
 
 GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Ductal", id_use = "GO:0006412")
@@ -193,10 +193,10 @@ 
Examples
 # Remove redundant GO terms
 pancreas_sub <- RunGSEA(srt = pancreas_sub, group_by = "CellType", db = "GO_BP", GO_simplify = TRUE, species = "Mus_musculus")
-#> [2023-09-08 19:19:30.863482] Start GSEA
+#> [2023-09-11 11:42:54.889471] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652
 #> Permform GSEA...
 #> 
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  |==============================================================================================================| 100%
 #> 
@@ -210,8 +210,8 @@ 
Examples#> 
 #> 
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:25:22.189565] GSEA done
-#> Elapsed time:5.86 mins
+#> [2023-09-11 11:48:46.911094] GSEA done
+#> Elapsed time:5.87 mins
 GSEAPlot(pancreas_sub, db = "GO_BP_sim", group_by = "CellType", plot_type = "comparison")
 
 
@@ -222,14 +222,14 @@ 
Examples  db_combine = TRUE,
   species = "Mus_musculus"
 )
-#> [2023-09-08 19:25:22.513008] Start GSEA
+#> [2023-09-11 11:48:47.209185] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: KEGG version:Release 107.0+/09-08, Sep 23 nterm:351 created:2023-09-08 19:06:56.672793
-#> Loading cached db: WikiPathway version:20230810 nterm:200 created:2023-09-08 19:07:04.17692
-#> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-08 19:07:13.008936
-#> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-08 19:07:45.463694
-#> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 18:29:10.543634
+#> Loading cached db: KEGG version:Release 107.0+/09-10, Sep 23 nterm:351 created:2023-09-11 11:30:40.951254
+#> Loading cached db: WikiPathway version:20230910 nterm:200 created:2023-09-11 11:30:48.472652
+#> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-11 11:30:59.894706
+#> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-11 11:31:20.964269
+#> Loading cached db: MP version:2023-09-11 06:00 nterm:10294 created:2023-09-11 10:56:06.655559
 #> Create 'Combined' database ...
 #> Permform GSEA...
 #> 
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@@ -244,18 +244,18 @@ 
Examples#> 
 #> 
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:27:09.524743] GSEA done
-#> Elapsed time:1.78 mins
+#> [2023-09-11 11:50:34.775109] GSEA done
+#> Elapsed time:1.79 mins
 GSEAPlot(pancreas_sub, db = "Combined", group_by = "CellType", plot_type = "comparison")
 
 
 # Or use "geneID", "geneScore" and "geneID_groups" as input to run GSEA
 de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05)
 gsea_out <- RunGSEA(geneID = de_df[["gene"]], geneScore = de_df[["avg_log2FC"]], geneID_groups = de_df[["group1"]], db = "GO_BP", species = "Mus_musculus")
-#> [2023-09-08 19:27:09.811327] Start GSEA
+#> [2023-09-11 11:50:35.055415] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652
 #> Permform GSEA...
 #> 
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 #> 
@@ -269,8 +269,8 @@ 
Examples#> 
 #> 
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:32:38.120501] GSEA done
-#> Elapsed time:5.47 mins
+#> [2023-09-11 11:56:04.905685] GSEA done
+#> Elapsed time:5.5 mins
 GSEAPlot(res = gsea_out, db = "GO_BP", plot_type = "comparison")
 
 
diff --git a/reference/RunKNNMap.html b/reference/RunKNNMap.html
index 78fb1ea5..58ae5e87 100644
--- a/reference/RunKNNMap.html
+++ b/reference/RunKNNMap.html
@@ -82,7 +82,7 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat")
-#> [2023-09-08 19:32:42.123868] Start Seurat_integrate
+#> [2023-09-11 11:56:09.059178] Start Seurat_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
diff --git a/reference/RunKNNPredict.html b/reference/RunKNNPredict.html
index 57fa507c..de5368ad 100644
--- a/reference/RunKNNPredict.html
+++ b/reference/RunKNNPredict.html
@@ -110,22 +110,22 @@ 
Examplesdata("pancreas_sub")
 data("ref_scMCA")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 19:32:43.883222] Start Standard_SCP
-#> [2023-09-08 19:32:43.884179] Checking srtList... ...
+#> [2023-09-11 11:56:10.861283] Start Standard_SCP
+#> [2023-09-11 11:56:10.861518] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:32:44.897474] Finished checking.
-#> [2023-09-08 19:32:44.897689] Perform ScaleData on the data...
-#> [2023-09-08 19:32:45.028295] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:32:45.801473] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:32:45.917521] Reorder clusters...
-#> [2023-09-08 19:32:46.16124] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 11:56:11.99738] Finished checking.
+#> [2023-09-11 11:56:11.997564] Perform ScaleData on the data...
+#> [2023-09-11 11:56:12.123147] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 11:56:12.906044] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 11:56:13.032906] Reorder clusters...
+#> [2023-09-11 11:56:13.269741] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:32:55.958804] Standard_SCP done
-#> Elapsed time: 12.08 secs 
+#> [2023-09-11 11:56:22.708196] Standard_SCP done
+#> Elapsed time: 11.85 secs 
 pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA)
 #> Use 535 features to calculate distance.
 #> Detected query data type: log_normalized_counts
@@ -165,8 +165,8 @@ 
Examplespanc8_sub <- RenameFeatures(panc8_sub, newnames = genenames)
 #> Rename features for the assay: RNA
 panc8_sub <- check_srtMerge(panc8_sub, batch = "tech")[["srtMerge"]]
-#> [2023-09-08 19:33:00.361137] Spliting srtMerge into srtList by column tech... ...
-#> [2023-09-08 19:33:00.846436] Checking srtList... ...
+#> [2023-09-11 11:56:27.516869] Spliting srtMerge into srtList by column tech... ...
+#> [2023-09-11 11:56:28.003718] Checking srtList... ...
 #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/5 of the srtList...
 #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
@@ -179,7 +179,7 @@ 
Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:33:03.900775] Finished checking.
+#> [2023-09-11 11:56:30.868002] Finished checking.
 
 pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, srt_ref = panc8_sub, ref_group = "celltype")
 #> Use the HVF to calculate distance metric.
@@ -232,13 +232,13 @@ 
Examples  ref_group = "celltype",
   features_type = "DE", feature_source = "ref"
 )
-#> [2023-09-08 19:33:07.925362] Start DEtest
+#> [2023-09-11 11:56:35.089964] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 13 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:33:17.677477] DEtest done
-#> Elapsed time:9.75 secs
+#> [2023-09-11 11:56:44.407463] DEtest done
+#> Elapsed time:9.32 secs
 #> Use the DE features from AllMarkers_wilcox to calculate distance metric.
 #> DE features number of the ref data: 2000
 #> Use 1865 features to calculate distance.
@@ -257,22 +257,22 @@ 
Examples  query_group = "SubCellType", ref_group = "celltype",
   features_type = "DE", feature_source = "both"
 )
-#> [2023-09-08 19:33:18.709784] Start DEtest
+#> [2023-09-11 11:56:45.445381] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 8 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:33:21.530445] DEtest done
-#> Elapsed time:2.82 secs
+#> [2023-09-11 11:56:48.076169] DEtest done
+#> Elapsed time:2.63 secs
 #> Use the DE features from AllMarkers_wilcox to calculate distance metric.
 #> DE features number of the query data: 956
-#> [2023-09-08 19:33:21.762153] Start DEtest
+#> [2023-09-11 11:56:48.352055] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 13 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:33:30.901825] DEtest done
-#> Elapsed time:9.14 secs
+#> [2023-09-11 11:56:57.929156] DEtest done
+#> Elapsed time:9.58 secs
 #> Use the DE features from AllMarkers_wilcox to calculate distance metric.
 #> DE features number of the ref data: 252
 #> Use 67 features to calculate distance.
diff --git a/reference/RunPCAMap.html b/reference/RunPCAMap.html
index d27e49a8..0c3c0576 100644
--- a/reference/RunPCAMap.html
+++ b/reference/RunPCAMap.html
@@ -78,7 +78,7 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat")
-#> [2023-09-08 19:34:35.607852] Start Seurat_integrate
+#> [2023-09-11 11:57:49.314902] Start Seurat_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
diff --git a/reference/RunSCVELO.html b/reference/RunSCVELO.html
index 87331ca1..fc9ff3cc 100644
--- a/reference/RunSCVELO.html
+++ b/reference/RunSCVELO.html
@@ -278,21 +278,21 @@ 
Examples
 
 pancreas_sub <- Standard_SCP(pancreas_sub, normalization_method = "SCT", nonlinear_reduction = "tsne")
-#> [2023-09-08 19:36:15.657701] Start Standard_SCP
-#> [2023-09-08 19:36:15.65837] Checking srtList... ...
+#> [2023-09-11 11:59:13.467846] Start Standard_SCP
+#> [2023-09-11 11:59:13.468038] Checking srtList... ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Perform SCTransform on the data 1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:36:29.460421] Finished checking.
-#> [2023-09-08 19:36:29.460602] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:36:30.349577] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:36:30.52223] Reorder clusters...
-#> [2023-09-08 19:36:30.852001] Perform nonlinear dimension reduction (tsne) on the data...
+#> [2023-09-11 11:59:25.333979] Finished checking.
+#> [2023-09-11 11:59:25.334156] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 11:59:26.154647] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 11:59:26.299792] Reorder clusters...
+#> [2023-09-11 11:59:26.593718] Perform nonlinear dimension reduction (tsne) on the data...
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input
-#> [2023-09-08 19:36:40.415661] Standard_SCP done
-#> Elapsed time: 24.76 secs 
+#> [2023-09-11 11:59:35.953828] Standard_SCP done
+#> Elapsed time: 22.49 secs 
 pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = "SCT", group_by = "SubCellType", linear_reduction = "Standardpca", nonlinear_reduction = "StandardTSNE2D")
 #> Assay 'RNA' is in the srt object but not converted.
 #> Assay 'Ms' is in the srt object but not converted.
diff --git a/reference/RunScmap.html b/reference/RunScmap.html
index 3bb6a2e1..d07ced96 100644
--- a/reference/RunScmap.html
+++ b/reference/RunScmap.html
@@ -76,8 +76,8 @@ 
Examplespanc8_sub <- RenameFeatures(panc8_sub, newnames = genenames)
 #> Rename features for the assay: RNA
 panc8_sub <- check_srtMerge(panc8_sub, batch = "tech")[["srtMerge"]]
-#> [2023-09-08 19:37:10.848613] Spliting srtMerge into srtList by column tech... ...
-#> [2023-09-08 19:37:11.650576] Checking srtList... ...
+#> [2023-09-11 12:00:04.867381] Spliting srtMerge into srtList by column tech... ...
+#> [2023-09-11 12:00:05.43533] Checking srtList... ...
 #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/5 of the srtList...
 #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
@@ -90,27 +90,27 @@ 
Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:37:15.656481] Finished checking.
+#> [2023-09-11 12:00:08.516436] Finished checking.
 
 # Annotation
 data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 19:37:17.639414] Start Standard_SCP
-#> [2023-09-08 19:37:17.639632] Checking srtList... ...
+#> [2023-09-11 12:00:12.142418] Start Standard_SCP
+#> [2023-09-11 12:00:12.14263] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:37:20.328742] Finished checking.
-#> [2023-09-08 19:37:20.328958] Perform ScaleData on the data...
-#> [2023-09-08 19:37:20.589585] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:37:21.483434] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:37:21.631044] Reorder clusters...
-#> [2023-09-08 19:37:21.835818] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:00:13.229823] Finished checking.
+#> [2023-09-11 12:00:13.230035] Perform ScaleData on the data...
+#> [2023-09-11 12:00:13.395782] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 12:00:14.173715] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:00:14.292792] Reorder clusters...
+#> [2023-09-11 12:00:14.558724] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:37:31.365356] Standard_SCP done
-#> Elapsed time: 13.73 secs 
+#> [2023-09-11 12:00:23.585417] Standard_SCP done
+#> Elapsed time: 11.44 secs 
 pancreas_sub <- RunScmap(
   srt_query = pancreas_sub, srt_ref = panc8_sub,
   ref_group = "celltype", method = "scmapCluster"
diff --git a/reference/RunSeuratMap.html b/reference/RunSeuratMap.html
index fa12e6c1..609ff5ee 100644
--- a/reference/RunSeuratMap.html
+++ b/reference/RunSeuratMap.html
@@ -84,7 +84,7 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat")
-#> [2023-09-08 19:37:44.055578] Start Seurat_integrate
+#> [2023-09-11 12:00:33.516227] Start Seurat_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
diff --git a/reference/RunSingleR.html b/reference/RunSingleR.html
index 61388290..86117615 100644
--- a/reference/RunSingleR.html
+++ b/reference/RunSingleR.html
@@ -84,8 +84,8 @@ 
Examplespanc8_sub <- RenameFeatures(panc8_sub, newnames = genenames)
 #> Rename features for the assay: RNA
 panc8_sub <- check_srtMerge(panc8_sub, batch = "tech")[["srtMerge"]]
-#> [2023-09-08 19:37:46.000779] Spliting srtMerge into srtList by column tech... ...
-#> [2023-09-08 19:37:46.616419] Checking srtList... ...
+#> [2023-09-11 12:00:35.419573] Spliting srtMerge into srtList by column tech... ...
+#> [2023-09-11 12:00:36.09141] Checking srtList... ...
 #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/5 of the srtList...
 #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
@@ -98,27 +98,27 @@ 
Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:37:50.748483] Finished checking.
+#> [2023-09-11 12:00:38.998572] Finished checking.
 
 # Annotation
 data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 19:37:52.730765] Start Standard_SCP
-#> [2023-09-08 19:37:52.730983] Checking srtList... ...
+#> [2023-09-11 12:00:40.864315] Start Standard_SCP
+#> [2023-09-11 12:00:40.86452] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:37:53.718778] Finished checking.
-#> [2023-09-08 19:37:53.718988] Perform ScaleData on the data...
-#> [2023-09-08 19:37:53.836396] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:37:54.64579] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:37:54.76634] Reorder clusters...
-#> [2023-09-08 19:37:54.986545] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:00:41.977513] Finished checking.
+#> [2023-09-11 12:00:41.97773] Perform ScaleData on the data...
+#> [2023-09-11 12:00:42.100501] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 12:00:42.868567] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:00:42.990708] Reorder clusters...
+#> [2023-09-11 12:00:43.186483] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:38:04.478041] Standard_SCP done
-#> Elapsed time: 11.75 secs 
+#> [2023-09-11 12:00:52.23932] Standard_SCP done
+#> Elapsed time: 11.38 secs 
 pancreas_sub <- RunSingleR(
   srt_query = pancreas_sub, srt_ref = panc8_sub,
   query_group = "Standardclusters", ref_group = "celltype",
diff --git a/reference/RunSlingshot.html b/reference/RunSlingshot.html
index 174f8c0f..94505e97 100644
--- a/reference/RunSlingshot.html
+++ b/reference/RunSlingshot.html
@@ -86,22 +86,22 @@ 
Examples
 # 3D lineage
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-08 19:38:35.655392] Start Standard_SCP
-#> [2023-09-08 19:38:35.655574] Checking srtList... ...
+#> [2023-09-11 12:01:19.754827] Start Standard_SCP
+#> [2023-09-11 12:01:19.755005] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:38:36.748512] Finished checking.
-#> [2023-09-08 19:38:36.748724] Perform ScaleData on the data...
-#> [2023-09-08 19:38:36.915292] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:38:37.683792] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:38:37.807107] Reorder clusters...
-#> [2023-09-08 19:38:37.99791] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:01:20.757721] Finished checking.
+#> [2023-09-11 12:01:20.757918] Perform ScaleData on the data...
+#> [2023-09-11 12:01:20.911858] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 12:01:21.687136] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:01:21.808771] Reorder clusters...
+#> [2023-09-11 12:01:21.994985] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:38:47.671772] Standard_SCP done
-#> Elapsed time: 12.02 secs 
+#> [2023-09-11 12:01:31.4014] Standard_SCP done
+#> Elapsed time: 11.65 secs 
 pancreas_sub <- RunSlingshot(pancreas_sub, group.by = "SubCellType", reduction = "StandardpcaUMAP3D")
 CellDimPlot(pancreas_sub, group.by = "SubCellType", reduction = "UMAP", lineages = paste0("Lineage", 1:3), lineages_span = 0.1, lineages_trim = c(0.05, 0.95))
 
diff --git a/reference/RunSymphonyMap.html b/reference/RunSymphonyMap.html
index dc02e1b1..6c7e799b 100644
--- a/reference/RunSymphonyMap.html
+++ b/reference/RunSymphonyMap.html
@@ -78,7 +78,7 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Harmony")
-#> [2023-09-08 19:38:53.195436] Start Harmony_integrate
+#> [2023-09-11 12:01:36.870497] Start Harmony_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Harmony"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
diff --git a/reference/RunWOT.html b/reference/RunWOT.html
index 9cd8e156..89a07ee4 100644
--- a/reference/RunWOT.html
+++ b/reference/RunWOT.html
@@ -59,7 +59,7 @@ 
Usage
   time_field = "Time",
   growth_iters = 3L,
   tmap_out = "tmaps/tmap_out",
-  time_from = 1,
+  time_from = NULL,
   time_to = NULL,
   get_coupling = FALSE,
   recalculate = FALSE,
@@ -108,12 +108,6 @@ 
Arguments
-    
Value

-    
-
-
A anndata object.

-    
 
   
diff --git a/reference/Standard_SCP.html b/reference/Standard_SCP.html
index b9fa4530..b81d98bb 100644
--- a/reference/Standard_SCP.html
+++ b/reference/Standard_SCP.html
@@ -169,22 +169,22 @@ 
Value
Examples

     
data("pancreas_sub")
 pancreas_sub <- Standard_SCP(srt = pancreas_sub)
-#> [2023-09-08 19:38:55.921955] Start Standard_SCP
-#> [2023-09-08 19:38:55.922157] Checking srtList... ...
+#> [2023-09-11 12:01:39.503135] Start Standard_SCP
+#> [2023-09-11 12:01:39.503335] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:38:56.908358] Finished checking.
-#> [2023-09-08 19:38:56.908568] Perform ScaleData on the data...
-#> [2023-09-08 19:38:57.021552] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:38:57.839339] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:38:57.958916] Reorder clusters...
-#> [2023-09-08 19:38:58.147127] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:01:40.599709] Finished checking.
+#> [2023-09-11 12:01:40.59989] Perform ScaleData on the data...
+#> [2023-09-11 12:01:40.710247] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 12:01:41.456073] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:01:41.571598] Reorder clusters...
+#> [2023-09-11 12:01:41.752538] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:39:07.76297] Standard_SCP done
-#> Elapsed time: 11.84 secs 
+#> [2023-09-11 12:01:50.921488] Standard_SCP done
+#> Elapsed time: 11.42 secs 
 CellDimPlot(pancreas_sub, group.by = "SubCellType")
 
 
@@ -195,58 +195,51 @@ 
Examples  linear_reduction = linear_reductions,
   nonlinear_reduction = "umap"
 )
-#> [2023-09-08 19:39:08.013504] Start Standard_SCP
-#> [2023-09-08 19:39:08.0137] Checking srtList... ...
+#> [2023-09-11 12:01:51.152797] Start Standard_SCP
+#> [2023-09-11 12:01:51.152976] Checking srtList... ...
 #> Data 1/1 of the srtList has been log-normalized.
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:39:08.949157] Finished checking.
-#> [2023-09-08 19:39:08.949365] Perform ScaleData on the data...
-#> [2023-09-08 19:39:09.111541] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:39:09.966867] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:39:10.106342] Reorder clusters...
-#> [2023-09-08 19:39:10.333676] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:01:52.117239] Finished checking.
+#> [2023-09-11 12:01:52.117448] Perform ScaleData on the data...
+#> [2023-09-11 12:01:52.276031] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 12:01:53.090541] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:01:53.227631] Reorder clusters...
+#> [2023-09-11 12:01:53.468066] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:39:19.652532] Perform linear dimension reduction (ica) on the data...
-#> [2023-09-08 19:39:22.682996] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:39:22.894897] Reorder clusters...
-#> [2023-09-08 19:39:23.147969] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:02:02.335975] Perform linear dimension reduction (ica) on the data...
+#> [2023-09-11 12:02:04.676291] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:02:04.841201] Reorder clusters...
+#> [2023-09-11 12:02:05.09209] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input
-#> [2023-09-08 19:39:32.533279] Perform linear dimension reduction (nmf) on the data...
+#> [2023-09-11 12:02:14.011691] Perform linear dimension reduction (nmf) on the data...
 #> 
 #> Attaching package: ‘Matrix’
 #> The following object is masked from ‘package:S4Vectors’:
 #> 
 #>     expand
-#> [2023-09-08 19:39:46.789663] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:39:46.964127] Reorder clusters...
-#> [2023-09-08 19:39:47.273722] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:02:28.214345] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:02:28.381856] Reorder clusters...
+#> [2023-09-11 12:02:28.677259] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input
-#> [2023-09-08 19:39:56.636338] Perform linear dimension reduction (mds) on the data...
-#> [2023-09-08 19:40:01.863487] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:40:02.048198] Reorder clusters...
-#> [2023-09-08 19:40:02.420287] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:02:37.583652] Perform linear dimension reduction (mds) on the data...
+#> [2023-09-11 12:02:45.976497] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:02:46.15695] Reorder clusters...
+#> [2023-09-11 12:02:46.514325] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input
-#> [2023-09-08 19:40:11.729199] Perform linear dimension reduction (glmpca) on the data...
-#> Install package: "glmpca" ...
-#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")'
-#> for details.
-#> Replacement repositories:
-#>     CRAN: https://cloud.r-project.org
-#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16)
-#> Installing package(s) 'glmpca'
-#> [2023-09-08 19:41:54.269991] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:41:54.537275] Reorder clusters...
-#> [2023-09-08 19:41:55.536369] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:02:55.417915] Perform linear dimension reduction (glmpca) on the data...
+#> [2023-09-11 12:04:00.666409] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:04:01.037809] Reorder clusters...
+#> [2023-09-11 12:04:01.898416] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input
-#> [2023-09-08 19:42:05.298949] Standard_SCP done
-#> Elapsed time: 2.95 mins 
+#> [2023-09-11 12:04:12.762948] Standard_SCP done
+#> Elapsed time: 2.36 mins 
 plist1 <- lapply(linear_reductions, function(lr) CellDimPlot(pancreas_sub, group.by = "SubCellType", reduction = paste0("Standard", lr, "UMAP2D"), theme_use = "theme_blank"))
 patchwork::wrap_plots(plotlist = plist1)
 
@@ -257,49 +250,49 @@ 
Examples  linear_reduction = "pca",
   nonlinear_reduction = nonlinear_reductions
 )
-#> [2023-09-08 19:42:07.4535] Start Standard_SCP
-#> [2023-09-08 19:42:07.45372] Checking srtList... ...
+#> [2023-09-11 12:04:14.985065] Start Standard_SCP
+#> [2023-09-11 12:04:14.985272] Checking srtList... ...
 #> Data 1/1 of the srtList has been log-normalized.
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-08 19:42:09.698119] Finished checking.
-#> [2023-09-08 19:42:09.698369] Perform ScaleData on the data...
-#> [2023-09-08 19:42:10.522735] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-08 19:42:12.441185] Perform FindClusters (louvain) on the data...
-#> [2023-09-08 19:42:12.664724] Reorder clusters...
-#> [2023-09-08 19:42:13.104625] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-11 12:04:17.843165] Finished checking.
+#> [2023-09-11 12:04:17.843373] Perform ScaleData on the data...
+#> [2023-09-11 12:04:18.722231] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-11 12:04:20.756873] Perform FindClusters (louvain) on the data...
+#> [2023-09-11 12:04:21.316199] Reorder clusters...
+#> [2023-09-11 12:04:22.567146] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:42:22.882907] Perform nonlinear dimension reduction (tsne) on the data...
+#> [2023-09-11 12:04:31.944615] Perform nonlinear dimension reduction (tsne) on the data...
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:42:32.30458] Perform nonlinear dimension reduction (dm) on the data...
+#> [2023-09-11 12:04:41.256182] Perform nonlinear dimension reduction (dm) on the data...
 #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input
 #> Warning: 'as(<dsCMatrix>, "dsTMatrix")' is deprecated.
 #> Use 'as(., "TsparseMatrix")' instead.
 #> See help("Deprecated") and help("Matrix-deprecated").
 #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:42:34.251733] Perform nonlinear dimension reduction (phate) on the data...
+#> [2023-09-11 12:04:43.065613] Perform nonlinear dimension reduction (phate) on the data...
 #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input
 #> Try to install phate ...
 #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:43:09.66068] Perform nonlinear dimension reduction (pacmap) on the data...
+#> [2023-09-11 12:05:14.543418] Perform nonlinear dimension reduction (pacmap) on the data...
 #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input
 #> Try to install pacmap ...
 #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:43:48.84705] Perform nonlinear dimension reduction (trimap) on the data...
+#> [2023-09-11 12:05:51.294345] Perform nonlinear dimension reduction (trimap) on the data...
 #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input
 #> Try to install trimap ...
 #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:44:14.758324] Perform nonlinear dimension reduction (largevis) on the data...
+#> [2023-09-11 12:06:16.221822] Perform nonlinear dimension reduction (largevis) on the data...
 #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-08 19:51:06.905173] Perform nonlinear dimension reduction (fr) on the data...
+#> [2023-09-11 12:13:04.442326] Perform nonlinear dimension reduction (fr) on the data...
 #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input
 #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input
-#> [2023-09-08 19:51:11.042606] Standard_SCP done
-#> Elapsed time: 9.06 mins 
+#> [2023-09-11 12:13:08.561375] Standard_SCP done
+#> Elapsed time: 8.89 mins 
 plist2 <- lapply(nonlinear_reductions, function(nr) CellDimPlot(pancreas_sub, group.by = "SubCellType", reduction = paste0("Standardpca", toupper(nr), "2D"), theme_use = "theme_blank"))
 patchwork::wrap_plots(plotlist = plist2)
 
diff --git a/reference/StatPlot.html b/reference/StatPlot.html
index c58b0dae..310aa73f 100644
--- a/reference/StatPlot.html
+++ b/reference/StatPlot.html
@@ -140,7 +140,7 @@ 
Examples
 pancreas_sub <- AnnotateFeatures(pancreas_sub, species = "Mus_musculus", IDtype = "symbol", db = "GeneType")
 #> Species: Mus_musculus
-#> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-08 18:17:57.975793
+#> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-11 10:44:50.057727
 head(pancreas_sub[["RNA"]]@meta.features)
 #>               highly_variable_genes       GeneType
 #> Mrpl15                        False protein-coding
diff --git a/reference/VolcanoPlot.html b/reference/VolcanoPlot.html
index e629fefb..981899a2 100644
--- a/reference/VolcanoPlot.html
+++ b/reference/VolcanoPlot.html
@@ -92,13 +92,13 @@ 
Examples
data("pancreas_sub")
 pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType", only.pos = FALSE)
 #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data.
-#> [2023-09-08 19:52:01.608367] Start DEtest
+#> [2023-09-11 12:13:57.772663] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 5 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:52:09.784206] DEtest done
-#> Elapsed time:8.18 secs
+#> [2023-09-11 12:14:05.985198] DEtest done
+#> Elapsed time:8.21 secs
 VolcanoPlot(pancreas_sub, group_by = "CellType")
 
 VolcanoPlot(pancreas_sub, group_by = "CellType", DE_threshold = "abs(diff_pct) > 0.3 & p_val_adj < 0.05")
diff --git a/reference/db_DoubletDetection-1.png b/reference/db_DoubletDetection-1.png
index c879c0c2..e59add20 100644
Binary files a/reference/db_DoubletDetection-1.png and b/reference/db_DoubletDetection-1.png differ
diff --git a/reference/db_DoubletDetection-2.png b/reference/db_DoubletDetection-2.png
index c6303a26..a04747cc 100644
Binary files a/reference/db_DoubletDetection-2.png and b/reference/db_DoubletDetection-2.png differ
diff --git a/reference/panel_fix.html b/reference/panel_fix.html
index 074fdd4a..5181cd0a 100644
--- a/reference/panel_fix.html
+++ b/reference/panel_fix.html
@@ -231,15 +231,15 @@ 
Examples#> 'magick' package is suggested to install to give better rasterization.
 #> 
 #> Set `ht_opt$message = FALSE` to turn off this message.
-#> [2023-09-08 19:55:18.773008] Start Enrichment
+#> [2023-09-11 12:16:53.686975] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652
 #> Permform enrichment...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-08 19:56:27.549832] Enrichment done
-#> Elapsed time:1.15 mins
+#> [2023-09-11 12:18:00.747562] Enrichment done
+#> Elapsed time:1.12 mins
 #> The size of the heatmap will be fixed as some elements are not scalable.
 # the size of the heatmap is already fixed
 ht2$plot
diff --git a/search.json b/search.json
index ad7e5db5..89a47c3a 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. 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Interpretation of Sections 15 and 16","title":"GNU General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see . GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read .","code":" Copyright (C)     This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see .   Copyright (C)    This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Hao Zhang. Maintainer.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Zhang H (2023). SCP: Single Cell Pipeline. R package version 0.5.1, https://github.com/zhanghao-njmu/SCP.","code":"@Manual{,   title = {SCP: Single Cell Pipeline},   author = {Hao Zhang},   year = {2023},   note = {R package version 0.5.1},   url = {https://github.com/zhanghao-njmu/SCP}, }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"scp-single-cell-pipeline","dir":"","previous_headings":"","what":"Single Cell Pipeline","title":"Single Cell Pipeline","text":"SCP provides comprehensive set tools single-cell data processing downstream analysis. package includes following facilities: Integrated single-cell quality control methods. Pipelines embedded multiple methods normalization, feature reduction, cell population identification (standard Seurat workflow). Pipelines embedded multiple integration methods scRNA-seq scATAC-seq data, including Uncorrected, Seurat, scVI, MNN, fastMNN, Harmony, Scanorama, BBKNN, CSS, LIGER, Conos, ComBat. Multiple single-cell downstream analyses identification differential features, enrichment analysis, GSEA analysis, identification dynamic features, PAGA, RNA velocity, Palantir, Monocle2, Monocle3, etc. Multiple methods automatic annotation single-cell data methods projection single-cell datasets. High-quality data visualization methods. Fast deployment single-cell data SCExplorer, shiny app provides interactive visualization interface. functions SCP package developed around Seurat object compatible Seurat functions.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"r-version-requirement","dir":"","previous_headings":"","what":"R version requirement","title":"Single Cell Pipeline","text":"R >= 4.1.0","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-the-global-r-environment","dir":"","previous_headings":"","what":"Installation in the global R environment","title":"Single Cell Pipeline","text":"can install latest version SCP GitHub :","code":"if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"zhanghao-njmu/SCP\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-scp-python-environment","dir":"","previous_headings":"Installation in the global R environment","what":"Create SCP python environment","title":"Single Cell Pipeline","text":"run functions RunPAGA RunSCVELO, SCP requires conda create separate python environment. default environment name \"SCP_env\". can specify environment name SCP setting options(SCP_env_name=\"new_name\") Now, can run PrepareEnv() create python environment SCP. conda binary found, automatically download install miniconda. force SCP use specific conda binary, recommended set reticulate.conda_binary R option: download miniconda pip packages slow, can specify miniconda repo PyPI mirror according network region. Available miniconda repositories: https://repo.anaconda.com/miniconda (default) http://mirrors.aliyun.com/anaconda/miniconda https://mirrors.bfsu.edu.cn/anaconda/miniconda https://mirrors.pku.edu.cn/anaconda/miniconda https://mirror.nju.edu.cn/anaconda/miniconda https://mirrors.sustech.edu.cn/anaconda/miniconda https://mirrors.xjtu.edu.cn/anaconda/miniconda https://mirrors.hit.edu.cn/anaconda/miniconda Available PyPI mirrors: https://pypi.python.org/simple (default) https://mirrors.aliyun.com/pypi/simple https://pypi.tuna.tsinghua.edu.cn/simple https://mirrors.pku.edu.cn/pypi/simple https://mirror.nju.edu.cn/pypi/web/simple https://mirrors.sustech.edu.cn/pypi/simple https://mirrors.xjtu.edu.cn/pypi/simple https://mirrors.hit.edu.cn/pypi/web/simple","code":"SCP::PrepareEnv() options(reticulate.conda_binary = \"/path/to/conda\") SCP::PrepareEnv() SCP::PrepareEnv(   miniconda_repo = \"https://mirrors.bfsu.edu.cn/anaconda/miniconda\",   pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-an-isolated-r-environment-using-renv","dir":"","previous_headings":"","what":"Installation in an isolated R environment using renv","title":"Single Cell Pipeline","text":"want change current R environment require reproducibility, can use renv package install SCP isolated R environment.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-an-isolated-r-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Create an isolated R environment","title":"Single Cell Pipeline","text":"Option 1: Install SCP GitHub create SCP python environment Option 2: SCP already installed global environment, copy SCP local library","code":"if (!require(\"renv\", quietly = TRUE)) {   install.packages(\"renv\") } dir.create(\"~/SCP_env\", recursive = TRUE) # It cannot be the home directory \"~\" ! renv::init(project = \"~/SCP_env\", bare = TRUE, restart = TRUE) renv::activate(project = \"~/SCP_env\") renv::install(\"BiocManager\") renv::install(\"zhanghao-njmu/SCP\", repos = BiocManager::repositories()) SCP::PrepareEnv() renv::activate(project = \"~/SCP_env\") renv::hydrate(\"SCP\") SCP::PrepareEnv()"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"activate-scp-environment-first-before-use","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Activate SCP environment first before use","title":"Single Cell Pipeline","text":"","code":"renv::activate(project = \"~/SCP_env\")  library(SCP) data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"save-and-restore-the-state-of-scp-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Save and restore the state of SCP environment","title":"Single Cell Pipeline","text":"","code":"renv::snapshot(project = \"~/SCP_env\") renv::restore(project = \"~/SCP_env\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"quick-start","dir":"","previous_headings":"","what":"Quick Start","title":"Single Cell Pipeline","text":"Data exploration CellQC Standard pipeline Integration pipeline Cell projection single-cell datasets Cell annotation using bulk RNA-seq datasets Cell annotation using single-cell datasets PAGA analysis Velocity analysis Differential expression analysis Enrichment analysis(-representation) Enrichment analysis(GSEA) Trajectory inference Dynamic features Interactive data visualization SCExplorer visualization examples","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"data-exploration","dir":"","previous_headings":"Quick Start","what":"Data exploration","title":"Single Cell Pipeline","text":"analysis based subsetted version mouse pancreas data.","code":"library(SCP) library(BiocParallel) register(MulticoreParam(workers = 8, progressbar = TRUE))  data(\"pancreas_sub\") print(pancreas_sub) #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 3467 variable features) #>  2 other assays present: spliced, unspliced #>  2 dimensional reductions calculated: PCA, UMAP CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) CellDimPlot(   srt = pancreas_sub, group.by = \"SubCellType\", stat.by = \"Phase\",   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"),   compare_features = TRUE, label = TRUE, label_insitu = TRUE,   reduction = \"UMAP\", theme_use = \"theme_blank\" ) ht <- GroupHeatmap(   srt = pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Cdh2\"),   cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   show_row_names = TRUE, row_names_side = \"left\",   add_dot = TRUE, add_reticle = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cellqc","dir":"","previous_headings":"Quick Start","what":"CellQC","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunCellQC(srt = pancreas_sub) CellDimPlot(srt = pancreas_sub, group.by = \"CellQC\", reduction = \"UMAP\") CellStatPlot(srt = pancreas_sub, stat.by = \"CellQC\", group.by = \"CellType\", label = TRUE) CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"standard-pipeline","dir":"","previous_headings":"Quick Start","what":"Standard pipeline","title":"Single Cell Pipeline","text":"CellDimPlot3D FeatureDimPlot3D","code":"pancreas_sub <- Standard_SCP(srt = pancreas_sub) CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\" ) CellDimPlot3D(srt = pancreas_sub, group.by = \"SubCellType\") FeatureDimPlot3D(srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"integration-pipeline","dir":"","previous_headings":"Quick Start","what":"Integration pipeline","title":"Single Cell Pipeline","text":"Example data integration subsetted version panc8(eight human pancreas datasets)  UMAP embeddings based different integration methods SCP: Integration-","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\") CellDimPlot(   srt = panc8_sub, group.by = c(\"celltype\", \"tech\"), reduction = \"SeuratUMAP2D\",   title = \"Seurat\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-projection-between-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell projection between single-cell datasets","title":"Single Cell Pipeline","text":"","code":"panc8_rename <- RenameFeatures(srt = panc8_sub, newnames = make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)), assays = \"RNA\") srt_query <- RunKNNMap(srt_query = pancreas_sub, srt_ref = panc8_rename, ref_umap = \"SeuratUMAP2D\") ProjectionPlot(   srt_query = srt_query, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-bulk-rna-seq-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using bulk RNA-seq datasets","title":"Single Cell Pipeline","text":"","code":"data(\"ref_scMCA\") pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 20) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using single-cell datasets","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   ref_group = \"celltype\", filter_lowfreq = 20 ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   return_full_distance_matrix = TRUE ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) ht <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   nlabel = 3, label_by = \"row\",   show_row_names = TRUE, show_column_names = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"paga-analysis","dir":"","previous_headings":"Quick Start","what":"PAGA analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) PAGAPlot(srt = pancreas_sub, reduction = \"UMAP\", label = TRUE, label_insitu = TRUE, label_repel = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"velocity-analysis","dir":"","previous_headings":"Quick Start","what":"Velocity analysis","title":"Single Cell Pipeline","text":"estimate RNA velocity, need “spliced” “unspliced” assays Seurat object. can generate matrices using velocyto, bustools, alevin.","code":"pancreas_sub <- RunSCVELO(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\") VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"differential-expression-analysis","dir":"","previous_headings":"Quick Start","what":"Differential expression analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDEtest(srt = pancreas_sub, group_by = \"CellType\", fc.threshold = 1, only.pos = FALSE) VolcanoPlot(srt = pancreas_sub, group_by = \"CellType\") DEGs <- pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox DEGs <- DEGs[with(DEGs, avg_log2FC > 1 & p_val_adj < 0.05), ] # Annotate features with transcription factors and surface proteins pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) ht <- FeatureHeatmap(   srt = pancreas_sub, group.by = \"CellType\", features = DEGs$gene, feature_split = DEGs$group1,   species = \"Mus_musculus\", db = c(\"GO_BP\", \"KEGG\", \"WikiPathway\"), anno_terms = TRUE,   feature_annotation = c(\"TF\", \"CSPA\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   height = 5, width = 4 ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisover-representation","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(over-representation)","title":"Single Cell Pipeline","text":"ensure labels visible, can adjust size viewer panel Rstudio IDE.","code":"pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"avg_log2FC > log2(1.5) & p_val_adj < 0.05\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\", word_type = \"feature\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"network\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"enrichmap\" ) EnrichmentPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisgsea","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(GSEA)","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"p_val_adj < 0.05\" ) GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", group_use = \"Endocrine\", id_use = \"GO:0007186\") GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"trajectory-inference","dir":"","previous_headings":"Quick Start","what":"Trajectory inference","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunSlingshot(srt = pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\", theme_use = \"theme_blank\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"dynamic-features","dir":"","previous_headings":"Quick Start","what":"Dynamic features","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDynamicFeatures(srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) ht <- DynamicHeatmap(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"),   use_fitted = TRUE, n_split = 6, reverse_ht = \"Lineage1\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE,   heatmap_palette = \"viridis\", cell_annotation = \"SubCellType\",   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")), separate_annotation_palette = c(\"Paired\", \"Set1\"),   feature_annotation = c(\"TF\", \"CSPA\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25, pseudotime_label_color = \"red\",   height = 5, width = 2 ) print(ht$plot) DynamicPlot(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), group.by = \"SubCellType\",   features = c(\"Plk1\", \"Hes1\", \"Neurod2\", \"Ghrl\", \"Gcg\", \"Ins2\"),   compare_lineages = TRUE, compare_features = FALSE ) FeatureStatPlot(   srt = pancreas_sub, group.by = \"SubCellType\", bg.by = \"CellType\",   stat.by = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\"), add_box = TRUE,   comparisons = list(     c(\"Ductal\", \"Ngn3 low EP\"),     c(\"Ngn3 high EP\", \"Pre-endocrine\"),     c(\"Alpha\", \"Beta\")   ) )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"interactive-data-visualization-with-scexplorer","dir":"","previous_headings":"Quick Start","what":"Interactive data visualization with SCExplorer","title":"Single Cell Pipeline","text":"","code":"PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\") app <- RunSCExplorer(base_dir = \"./SCExplorer\") list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  if (interactive()) {   shiny::runApp(app) }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"other-visualization-examples","dir":"","previous_headings":"Quick Start","what":"Other visualization examples","title":"Single Cell Pipeline","text":"CellDimPlotCellStatPlotFeatureStatPlotGroupHeatmap can also find examples documentation function: Integration_SCP, RunKNNMap, RunMonocle3, RunPalantir, etc.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"AnnotateFeatures — AnnotateFeatures","title":"AnnotateFeatures — AnnotateFeatures","text":"AnnotateFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"AnnotateFeatures(   srt,   species = \"Homo_sapiens\",   IDtype = c(\"symbol\", \"ensembl_id\", \"entrez_id\"),   db = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   gtf = NULL,   merge_gtf_by = \"gene_name\",   columns = c(\"seqname\", \"feature\", \"start\", \"end\", \"strand\", \"gene_id\", \"gene_name\",     \"gene_type\"),   assays = \"RNA\",   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"AnnotateFeatures — AnnotateFeatures","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- AnnotateFeatures(pancreas_sub,   species = \"Mus_musculus\", IDtype = \"symbol\",   db = c(\"Chromosome\", \"GeneType\", \"Enzyme\", \"TF\", \"CSPA\", \"VerSeDa\") ) #> Species: Mus_musculus #> Preparing database: Chromosome #> Preparing database: GeneType #> Preparing database: Enzyme #> Preparing database: TF #> Install package: \"openxlsx\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'BiocVersion', 'openxlsx' #> Preparing database: CSPA #> Preparing database: VerSeDa #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 11269 genes mapped with ensembl_peptide_id #> ============================== #> 11269 genes mapped #> 1197 genes unmapped #> ============================== #> Convert ID types for the database: Chromosome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 44558 genes unmapped #> ============================== #> Convert ID types for the database: GeneType #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 45394 genes unmapped #> ============================== #> Convert ID types for the database: Enzyme #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 2263 genes mapped with entrez_id #> ============================== #> 2263 genes mapped #> 20 genes unmapped #> ============================== head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes Chromosome       GeneType Enzyme   TF CSPA          VerSeDa #> Mrpl15                        False       chr1 protein-coding      SecretoryProtein #> Npbwr1                                chr1 protein-coding                   #> 4732440D04Rik                 False                                     #> Gm26901                       False                                     #> Sntg1                          True       chr1 protein-coding      SecretoryProtein #> Mybl1                         False       chr1 protein-coding      TF                ## Annotate features using a GTF file # pancreas_sub <- AnnotateFeatures(pancreas_sub, gtf = \"/data/reference/CellRanger/refdata-gex-mm10-2020-A/genes/genes.gtf\") # head(pancreas_sub[[\"RNA\"]]@meta.features)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"BBKNN_integrate — BBKNN_integrate","title":"BBKNN_integrate — BBKNN_integrate","text":"BBKNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BBKNN_integrate — BBKNN_integrate","text":"","code":"BBKNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   bbknn_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BBKNN_integrate — BBKNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":null,"dir":"Reference","previous_headings":"","what":"Prefetch cycle gene — CC_GenePrefetch","title":"Prefetch cycle gene — CC_GenePrefetch","text":"Based human cell cycle genes, cell cycle genes corresponding species captured homologous gene conversion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"CC_GenePrefetch(   species = \"Homo_sapiens\",   Ensembl_version = 103,   mirror = NULL,   max_tries = 5,   use_cached_gene = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prefetch cycle gene — CC_GenePrefetch","text":"species Latin names animals,.e., \"Homo_sapiens\", \"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service. use_cached_gene Whether use previously cached cell cycle gene conversion results species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prefetch cycle gene — CC_GenePrefetch","text":"list S-phase G2M-phase genes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"ccgenes <- CC_GenePrefetch(\"Homo_sapiens\") str(ccgenes) #> List of 3 #>  $ res         : NULL #>  $ cc_S_genes  : chr [1:43] \"MCM5\" \"PCNA\" \"TYMS\" \"FEN1\" ... #>  $ cc_G2M_genes: chr [1:54] \"HMGB2\" \"CDK1\" \"NUSAP1\" \"UBE2C\" ... ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Converting the geneIDs... #> 97 genes mapped with ensembl_symbol #> ============================== #> 97 genes mapped #> 0 genes unmapped #> ============================== str(ccgenes) #> List of 3 #>  $ res         :List of 7 #>   ..$ geneID_res     :'data.frame':\t99 obs. of  4 variables: #>   .. ..$ from_IDtype: chr [1:99] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   .. ..$ from_geneID: chr [1:99] \"NCAPD2\" \"ANLN\" \"UBR7\" \"TACC3\" ... #>   .. ..$ to_IDtype  : chr [1:99] \"symbol\" \"symbol\" \"symbol\" \"symbol\" ... #>   .. ..$ to_geneID  : chr [1:99] \"Ncapd2\" \"Anln\" \"Ubr7\" \"Tacc3\" ... #>   ..$ geneID_collapse:'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     :List of 94 #>   .. .. ..$ : chr \"Anln\" #>   .. .. ..$ : chr \"Anp32e\" #>   .. .. ..$ : chr \"Aurka\" #>   .. .. ..$ : chr \"Aurkb\" #>   .. .. ..$ : chr \"Birc5\" #>   .. .. ..$ : chr \"Blm\" #>   .. .. ..$ : chr \"Bub1\" #>   .. .. ..$ : chr \"Casp8ap2\" #>   .. .. ..$ : chr \"Cbx5\" #>   .. .. ..$ : chr \"Ccnb2\" #>   .. .. ..$ : chr \"Ccne2\" #>   .. .. ..$ : chr \"Cdc20\" #>   .. .. ..$ : chr \"Cdc25c\" #>   .. .. ..$ : chr \"Cdc45\" #>   .. .. ..$ : chr \"Cdc6\" #>   .. .. ..$ : chr \"Cdca2\" #>   .. .. ..$ : chr \"Cdca3\" #>   .. .. ..$ : chr \"Cdca7\" #>   .. .. ..$ : chr \"Cdca8\" #>   .. .. ..$ : chr \"Cdk1\" #>   .. .. ..$ : chr \"Cenpa\" #>   .. .. ..$ : chr \"Cenpe\" #>   .. .. ..$ : chr \"Cenpf\" #>   .. .. ..$ : chr \"Cenpu\" #>   .. .. ..$ : chr \"Chaf1b\" #>   .. .. ..$ : chr \"Ckap2\" #>   .. .. ..$ : chr \"Ckap2l\" #>   .. .. ..$ : chr \"Ckap5\" #>   .. .. ..$ : chr \"Cks1b\" #>   .. .. ..$ : chr \"Cks2\" #>   .. .. ..$ : chr \"Clspn\" #>   .. .. ..$ : chr \"Ctcf\" #>   .. .. ..$ : chr \"Dlgap5\" #>   .. .. ..$ : chr \"Dscc1\" #>   .. .. ..$ : chr \"Dtl\" #>   .. .. ..$ : chr \"E2f8\" #>   .. .. ..$ : chr \"Ect2\" #>   .. .. ..$ : chr \"Exo1\" #>   .. .. ..$ : chr \"Fen1\" #>   .. .. ..$ : chr \"G2e3\" #>   .. .. ..$ : chr \"Gas2l3\" #>   .. .. ..$ : chr \"Gins2\" #>   .. .. ..$ : chr \"Gmnn\" #>   .. .. ..$ : chr \"Gtse1\" #>   .. .. ..$ : chr \"Hells\" #>   .. .. ..$ : chr \"Hjurp\" #>   .. .. ..$ : chr \"Hmgb2\" #>   .. .. ..$ : chr \"Hmmr\" #>   .. .. ..$ : chr \"Kif11\" #>   .. .. ..$ : chr \"Kif20b\" #>   .. .. ..$ : chr \"Kif23\" #>   .. .. ..$ : chr \"Kif2c\" #>   .. .. ..$ : chr \"Lbr\" #>   .. .. ..$ : chr \"Mcm4\" #>   .. .. ..$ : chr \"Mcm5\" #>   .. .. ..$ : chr \"Mcm6\" #>   .. .. ..$ : chr \"Mcm7\" #>   .. .. ..$ : chr \"Mki67\" #>   .. .. ..$ : chr \"Mrpl36\" #>   .. .. ..$ : chr \"Msh2\" #>   .. .. ..$ : chr \"Nasp\" #>   .. .. ..$ : chr \"Ncapd2\" #>   .. .. ..$ : chr \"Ndc80\" #>   .. .. ..$ : chr \"Nek2\" #>   .. .. ..$ : chr \"Nuf2\" #>   .. .. ..$ : chr \"Nusap1\" #>   .. .. ..$ : chr \"Pcna\" #>   .. .. ..$ : chr \"Pimreg\" #>   .. .. ..$ : chr \"Pola1\" #>   .. .. ..$ : chr \"Polr1b\" #>   .. .. ..$ : chr \"Prim1\" #>   .. .. ..$ : chr \"Psrc1\" #>   .. .. ..$ : chr \"Rad51\" #>   .. .. ..$ : chr \"Rad51ap1\" #>   .. .. ..$ : chr \"Rangap1\" #>   .. .. ..$ : chr \"Rfc2\" #>   .. .. ..$ : chr \"Rrm1\" #>   .. .. ..$ : chr \"Rrm2\" #>   .. .. ..$ : chr \"Slbp\" #>   .. .. ..$ : chr \"Smc4\" #>   .. .. ..$ : chr \"Tacc3\" #>   .. .. ..$ : chr \"Tipin\" #>   .. .. ..$ : chr \"Tmpo\" #>   .. .. ..$ : chr \"Top2a\" #>   .. .. ..$ : chr \"Tpx2\" #>   .. .. ..$ : chr \"Ttk\" #>   .. .. ..$ : chr \"Tubb4b\" #>   .. .. ..$ : chr \"Tyms\" #>   .. .. ..$ : chr \"Ube2c\" #>   .. .. ..$ : chr \"Ubr7\" #>   .. .. ..$ : chr \"Uhrf1\" #>   .. .. ..$ : chr \"Ung\" #>   .. .. ..$ : chr \"Usp1\" #>   .. .. ..$ : chr \"Wdr76\" #>   .. .. ..- attr(*, \"class\")= chr \"AsIs\" #>   ..$ geneID_expand  :'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     : chr [1:94] \"Anln\" \"Anp32e\" \"Aurka\" \"Aurkb\" ... #>   ..$ Ensembl_version: chr \"103\" #>   ..$ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   .. ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   .. ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   .. ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>   ..$ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   .. ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   .. ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   .. ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>   ..$ geneID_unmapped: chr(0)  #>  $ cc_S_genes  : chr [1:41] \"Mcm5\" \"Pcna\" \"Tyms\" \"Fen1\" ... #>  $ cc_G2M_genes: chr [1:53] \"Hmgb2\" \"Cdk1\" \"Nusap1\" \"Ube2c\" ..."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"CSS_integrate — CSS_integrate","title":"CSS_integrate — CSS_integrate","text":"CSS_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CSS_integrate — CSS_integrate","text":"","code":"CSS_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   CSS_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   CSS_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CSS_integrate — CSS_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"CellCorHeatmap — CellCorHeatmap","title":"CellCorHeatmap — CellCorHeatmap","text":"CellCorHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"CellCorHeatmap(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\",   legend_title = NULL,   border = TRUE,   flip = FALSE,   limits = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = \"left\",   column_names_side = \"top\",   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 90,   column_title_rot = 0,   nlabel = 0,   label_cutoff = 0,   label_by = \"row\",   label_size = 10,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   query_group_palette = \"Paired\",   query_group_palcolor = NULL,   ref_group_palette = \"simspec\",   ref_group_palcolor = NULL,   query_cell_annotation = NULL,   query_cell_annotation_palette = \"Paired\",   query_cell_annotation_palcolor = NULL,   query_cell_annotation_params = if (flip) list(height = grid::unit(1, \"cm\")) else     list(width = grid::unit(1, \"cm\")),   ref_cell_annotation = NULL,   ref_cell_annotation_palette = \"Paired\",   ref_cell_annotation_palcolor = NULL,   ref_cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else     list(height = grid::unit(1, \"cm\")),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellCorHeatmap — CellCorHeatmap","text":"raster_by_magick","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 18:18:19.756761] Start Standard_SCP #> [2023-09-08 18:18:19.757943] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:18:20.852577] Finished checking. #> [2023-09-08 18:18:20.852751] Perform ScaleData on the data... #> [2023-09-08 18:18:21.019699] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:18:21.877362] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:18:21.994089] Reorder clusters... #> [2023-09-08 18:18:22.278738] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 18:18:28.887112] Standard_SCP done #> Elapsed time: 9.13 secs  ht1 <- CellCorHeatmap(srt_query = pancreas_sub, query_group = \"SubCellType\") #> Use the HVF to calculate distance metric. #> Use 2000 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht1$plot   data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 18:18:31.886292] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 18:18:33.175932] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:18:36.700664] Finished checking.  ht2 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub, nlabel = 3, label_cutoff = 0.6,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = \"Phase\", query_cell_annotation_palette = \"Set2\",   ref_cell_annotation = \"tech\", ref_cell_annotation_palette = \"Set3\",   width = 3, height = 2 ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", query_collapsing = FALSE, cluster_rows = TRUE,   ref_group = \"celltype\", ref_collapsing = FALSE, cluster_columns = TRUE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht3$plot   ht4 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   show_row_names = TRUE, show_column_names = TRUE,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\"),   ref_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\") ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht4$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"CellDensityPlot — CellDensityPlot","title":"CellDensityPlot — CellDensityPlot","text":"CellDensityPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellDensityPlot — CellDensityPlot","text":"","code":"CellDensityPlot(   srt,   features,   group.by,   split.by = NULL,   assay = NULL,   slot = \"data\",   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   decreasing = NULL,   palette = \"Paired\",   palcolor = NULL,   cells = NULL,   keep_empty = FALSE,   y.nbreaks = 4,   y.min = NULL,   y.max = NULL,   same.y.lims = FALSE,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellDensityPlot — CellDensityPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellDensityPlot — CellDensityPlot","text":"","code":"data(\"pancreas_sub\") CellDensityPlot(pancreas_sub, features = \"Sox9\", group.by = \"SubCellType\") #> Picking joint bandwidth of 0.453   pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", aspect.ratio = 1) #> Picking joint bandwidth of 0.663  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", flip = TRUE) #> Picking joint bandwidth of 0.663"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"Plotting cell points reduced 2D plane coloring according groups.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"CellDimPlot(   srt,   group.by,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   show_na = FALSE,   show_stat = TRUE,   pt.size = NULL,   pt.alpha = 1,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   stat.by = NULL,   stat_type = \"percent\",   stat_plot_type = \"pie\",   stat_plot_position = c(\"stack\", \"dodge\"),   stat_plot_size = 0.15,   stat_plot_palette = \"Set1\",   stat_palcolor = NULL,   stat_plot_alpha = 1,   stat_plot_label = FALSE,   stat_plot_label_size = 3,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   paga = NULL,   paga_type = \"connectivities\",   paga_node_size = 4,   paga_edge_threshold = 0.01,   paga_edge_size = c(0.2, 1),   paga_edge_color = \"grey40\",   paga_edge_alpha = 0.5,   paga_transition_threshold = 0.01,   paga_transition_size = c(0.2, 1),   paga_transition_color = \"black\",   paga_transition_alpha = 1,   paga_show_transition = FALSE,   velocity = NULL,   velocity_plot_type = \"raw\",   velocity_n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   velocity_density = 1,   velocity_smooth = 0.5,   velocity_scale = 1,   velocity_min_mass = 1,   velocity_cutoff_perc = 5,   velocity_arrow_color = \"black\",   velocity_arrow_angle = 20,   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   hex = FALSE,   hex.linewidth = 0.5,   hex.count = TRUE,   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions split.Name column meta.data column split plot . cells Subset cells plot. show_na Whether assign color color palette NA group. FALSE, cell points NA level colored bg_color. show_stat Whether show statistical information plot. pt.size Point size. pt.alpha Point transparency. palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. label Whether label cell groups. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether place raw labels (group names) center cells corresponding group. Default FALSE, using numbers instead raw labels. label_repel Logical value indicating whether label repel away center points. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points. label_segment_color Color line segment labels. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cell points. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. stat.name metadata column stat. stat_type Set stat types (\"percent\" \"count\"). stat_plot_type Set statistical plot type. stat_plot_position Position adjustment statistical plot. stat_plot_size Set statistical plot size. Defaults 0.1 stat_plot_palette Color palette used statistical plot stat_palcolor Custom colors used statistical plot stat_plot_alpha Transparency statistical plot. stat_plot_label Whether add labels statistical plot. stat_plot_label_size Label size statistical plot. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. paga Specify calculated paga results add PAGA graph layer plot. paga_type PAGA plot type. \"connectivities\" \"connectivities_tree\". paga_node_size Size nodes PAGA plot. paga_edge_threshold Threshold edge connectivities PAGA plot. paga_edge_size Size edges PAGA plot. paga_edge_color Color edges PAGA plot. paga_edge_alpha Transparency edges PAGA plot. paga_transition_threshold Threshold transition edges PAGA plot. paga_transition_size Size transition edges PAGA plot. paga_transition_color Color transition edges PAGA plot. paga_transition_alpha Transparency transition edges PAGA plot. paga_show_transition Whether show transitions edges. velocity Specify calculated RNA velocity mode add velocity layer plot. velocity_plot_type Set velocity plot type. velocity_n_neighbors Set number neighbors used velocity plot. velocity_density Set density value used velocity plot. velocity_smooth Set smooth value used velocity plot. velocity_scale Set scale value used velocity plot. velocity_min_mass Set min_mass value used velocity plot. velocity_cutoff_perc Set cutoff_perc value used velocity plot. velocity_arrow_color Color arrows velocity plot. velocity_arrow_angle Angle arrows velocity plot. streamline_L Typical length streamline x y units streamline_minL Minimum length segments show. streamline_res Resolution parameter (higher numbers increases resolution). streamline_n Number points draw. streamline_width Size streamline. streamline_alpha Transparency streamline. streamline_color Color streamline. streamline_palette Color palette used streamline. streamline_palcolor Custom colors used streamline. streamline_bg_color Background color streamline. streamline_bg_stroke Border width streamline background. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.count Whether show cell counts hexagonal bin. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless maximum levels cell group greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"single ggplot/patchwork object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"library(dplyr) #>  #> Attaching package: ‘dplyr’ #> The following object is masked from ‘package:AnnotationDbi’: #>  #>     select #> The following objects are masked from ‘package:IRanges’: #>  #>     collapse, desc, intersect, setdiff, slice, union #> The following objects are masked from ‘package:S4Vectors’: #>  #>     first, intersect, rename, setdiff, setequal, union #> The following object is masked from ‘package:Biobase’: #>  #>     combine #> The following objects are masked from ‘package:BiocGenerics’: #>  #>     combine, intersect, setdiff, union #> The following objects are masked from ‘package:stats’: #>  #>     filter, lag #> The following objects are masked from ‘package:base’: #>  #>     intersect, setdiff, setequal, union data(\"pancreas_sub\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   # Label and highlight cell points CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, label_insitu = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Epsilon\"] )  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Add statistical charts CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"ring\", stat_plot_label = TRUE, stat_plot_size = 0.15) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"bar\", stat_type = \"count\", stat_plot_position = \"dodge\")   # Chane the plot type from point to the hexagonal bin CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.count = FALSE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show neighbors graphs on the plot pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 18:19:33.247423] Start Standard_SCP #> [2023-09-08 18:19:33.247596] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:19:34.225352] Finished checking. #> [2023-09-08 18:19:34.22553] Perform ScaleData on the data... #> [2023-09-08 18:19:34.359853] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:19:35.124002] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:19:35.235267] Reorder clusters... #> [2023-09-08 18:19:35.422022] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 18:19:42.748722] Standard_SCP done #> Elapsed time: 9.5 secs  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\", edge_color = \"grey80\")   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3)) #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_whiskers = TRUE) #> Warning: Removed 8 rows containing missing values (`geom_segment()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)   # Show PAGA results on the plot pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> Warning: SCP_env python environment does not exist. Create it with the PrepareEnv function... #> + /usr/share/miniconda/bin/conda 'create' '--yes' '--name' 'SCP_env' 'python=3.8' '--quiet' '-c' 'conda-forge' #> Try to install numpy==1.21.6,numba==0.55.2,scikit-learn==1.1.2,pandas==1.3.5,python-igraph==0.10.2,matplotlib==3.6.3,palantir==1.0.1,wot==1.0.8.post2,scipy,versioned-hdf5,leidenalg,scanpy,scvelo ... #> ====================== SCP conda environment ====================== #> conda: /usr/share/miniconda/bin/conda #> environment: /usr/share/miniconda/envs/SCP_env #> ======================== SCP python config ======================== #> python:         /usr/share/miniconda/envs/SCP_env/bin/python3.8 #> libpython:      /usr/share/miniconda/envs/SCP_env/lib/libpython3.8.so #> pythonhome:     /usr/share/miniconda/envs/SCP_env:/usr/share/miniconda/envs/SCP_env #> version:        3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:06:00)  [GCC 11.4.0] #> numpy:          /usr/share/miniconda/envs/SCP_env/lib/python3.8/site-packages/numpy #> numpy_version:  1.21.6 #>  #> NOTE: Python version was forced by use_python() function #> =================================================================== #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_type = \"connectivities_tree\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_repel = TRUE, label_insitu = TRUE, label_segment_color = \"transparent\",   paga = pancreas_sub@misc$paga, paga_edge_threshold = 0.1, paga_edge_color = \"black\", paga_edge_alpha = 1,   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )   # Show RNA velocity results on the plot pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", mode = \"stochastic\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_show_transition = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 4 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\") #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\", velocity_scale = 1.5) #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"stream\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_insitu = TRUE,   velocity = \"stochastic\", velocity_plot_type = \"stream\", velocity_arrow_color = \"yellow\",   velocity_density = 2, velocity_smooth = 1, streamline_n = 20, streamline_color = \"black\",   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"Plotting cell points reduced 3D space coloring according groups cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"CellDimPlot3D(   srt,   group.by,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   lineages = NULL,   lineage_palette = \"Dark2\",   span = 0.75,   arrow_reverse = FALSE,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. pt.size Point size. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cell points. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless maximum levels cell group greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 18:22:26.617954] Start Standard_SCP #> [2023-09-08 18:22:26.618158] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:22:27.72339] Finished checking. #> [2023-09-08 18:22:27.723588] Perform ScaleData on the data... #> [2023-09-08 18:22:27.855982] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:22:28.577815] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:22:28.688404] Reorder clusters... #> [2023-09-08 18:22:28.866647] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 18:22:35.949528] Standard_SCP done #> Elapsed time: 9.33 secs  CellDimPlot3D(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\")  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group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
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group.by:Ductal
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group.by:Ngn3 low EP
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group.by:Ductal
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group.by:Alpha
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color:Ductal\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
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color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
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color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
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color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
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color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
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color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
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color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
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color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
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color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
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color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
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group.by:Ngn3 low EP
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color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
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color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
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group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
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color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
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color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
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color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
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color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
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color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
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color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
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color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
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color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
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color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
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color:Alpha\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(255,127,0,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(255,127,0,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Alpha\",\"textfont\":{\"color\":\"rgba(255,127,0,1)\"},\"error_y\":{\"color\":\"rgba(255,127,0,1)\"},\"error_x\":{\"color\":\"rgba(255,127,0,1)\"},\"line\":{\"color\":\"rgba(255,127,0,1)\"},\"frame\":null},{\"x\":[2.793688661452383,3.2613741224966946,2.6745559042654934,2.4691897696219387,3.2486630743704739,3.1013876265250149,2.3361758059225979,2.5643507307730617,2.3560041254721584,2.3313630884848537,2.6357158487997951,2.4152344530783596,2.8252738779745998,2.5578230684958401,2.7272015875540676,2.479031211730093,2.7370964354239407,2.3576153582297268],\"y\":[0.070623842870816578,0.1226136366482824,0.10801014105044304,0.053220657503232349,0.19655898014269768,0.013699082529172291,0.18593749204836785,0.27336951891146599,0.15909203687869011,0.26178195873461663,0.08589747348986565,0.15554716983996331,-0.00096622308529914491,0.10245349804125725,0.032042411958798755,0.23960020939074456,-0.01739844878949226,0.22291055122576653],\"z\":[2.2997942810812964,1.9235921746054665,2.415010178641416,2.6543135290900244,1.9238834028998391,2.1563965922156347,2.7292678004065527,2.4989740496436132,2.6990682726660742,2.7361378317633642,2.455823863104917,2.6428641920844091,2.2701818590918554,2.5116467123785986,2.4049763327399267,2.5852379446784033,2.3558253889838232,2.7110910063544287],\"text\":[\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(251,154,153,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(251,154,153,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Delta\",\"textfont\":{\"color\":\"rgba(251,154,153,1)\"},\"error_y\":{\"color\":\"rgba(251,154,153,1)\"},\"error_x\":{\"color\":\"rgba(251,154,153,1)\"},\"line\":{\"color\":\"rgba(251,154,153,1)\"},\"frame\":null},{\"x\":[3.8172012633048,3.9640418356619778,4.0921779936514797,4.1104151076041164,4.1845375364981594,4.1118885344229641,3.8757530516348782,4.3496514624319973,3.8364697760306301,4.0921040838919582,3.8910366362296047,3.86671937167272,4.0656186407767239,4.0860859221182766,3.64369691073522,4.0735517805777492,4.0419470137320461,4.019373065825552,4.0086442297659817,3.9628754919730129,3.8232137030325832,3.784641391631216,3.8982225722037258,3.8025161093436184,4.1205469435416164,4.0269590681754055,3.834314472075552,4.1854006117545071,4.098847991820425,4.2035375899039211,4.0021592444144192,4.1749731367789211],\"y\":[-1.1458798964861781,-1.3012585361842066,-2.0352490862254053,-2.3230533321741968,-2.493720861280337,-2.9189573248270899,-1.545060189569369,-3.6142457445506007,-1.4805615266207606,-2.8548248728159815,-1.2251872738245875,-1.6241277178172022,-1.7047620733622462,-2.6839514692667872,-1.3848834355715662,-2.8300114591959864,-2.562305541837588,-1.5894029458407313,-1.9238525350932032,-1.3171585520152003,-1.3056107481364161,-1.4506988843325526,-1.7402947862986475,-1.169714810455218,-2.4311220367792994,-1.2190810163859278,-1.3806635459307581,-2.5046910961512476,-2.640328617895022,-3.2087076624277979,-1.5525943954829127,-2.5892675836924464],\"z\":[3.5603587275305761,3.0363416319647802,3.3926832323828711,3.2868349200049414,3.1031601076880468,3.1063513403693213,3.7029113417426123,2.2332950478354467,3.739574158743955,3.2407769804755224,3.1538161879340185,3.7083072310248388,3.1442126875678076,3.3176071291724218,3.7040762549201025,3.214291298941709,3.3964278345862402,3.0861770754614843,3.5408041125098242,3.0596899634161963,3.5063635950842871,3.7532853728095068,3.6653802042761816,3.5099353438178076,3.1888248568335547,2.9130816107550634,3.6451568251410498,3.0938043242255224,3.2434551363745703,2.8631963377753271,3.2229990607062353,3.077028000907041],\"text\":[\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(227,26,28,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(227,26,28,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Epsilon\",\"textfont\":{\"color\":\"rgba(227,26,28,1)\"},\"error_y\":{\"color\":\"rgba(227,26,28,1)\"},\"error_x\":{\"color\":\"rgba(227,26,28,1)\"},\"line\":{\"color\":\"rgba(227,26,28,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]} pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = 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group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
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color:Ngn3 high EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
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group.by:Ductal
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group.by:Alpha
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color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
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color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
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color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
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color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
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color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
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color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
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color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
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color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
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color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
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color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
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group.by:Ngn3 low EP
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color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
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color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
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group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
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color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
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color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
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color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
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color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
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color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
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color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
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color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
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color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
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color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
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— CellScoring","title":"CellScoring — CellScoring","text":"CellScoring","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellScoring — CellScoring","text":"","code":"CellScoring(   srt,   features = NULL,   slot = \"data\",   assay = NULL,   split.by = NULL,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   termnames = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   minGSSize = 10,   maxGSSize = 500,   method = \"Seurat\",   classification = TRUE,   name = \"\",   new_assay = FALSE,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellScoring — CellScoring","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellScoring — CellScoring","text":"","code":"data(\"pancreas_sub\") ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Using cached conversion results for Mus_musculus pancreas_sub <- CellScoring(   srt = pancreas_sub,   features = list(S = ccgenes$cc_S_genes, G2M = ccgenes$cc_G2M_genes),   method = \"Seurat\", name = \"CC\" ) #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2 #> [2023-09-08 18:22:39.287178] Start CellScoring #> Workers: 1 #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:22:39.537988] CellScoring done #> Elapsed time:0.25 secs CellDimPlot(pancreas_sub, \"CC_classification\")  FeatureDimPlot(pancreas_sub, \"CC_G2M\")   if (FALSE) { data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub,   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  panc8_sub <- CellScoring(   srt = panc8_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Homo_sapiens\",   minGSSize = 10, maxGSSize = 100,   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) panc8_sub <- Integration_SCP(panc8_sub,   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  pancreas_sub <- CellScoring(   srt = pancreas_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Mus_musculus\",   termnames = panc8_sub[[\"GO\"]]@meta.features[, \"termnames\"],   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) pancreas_sub <- Standard_SCP(pancreas_sub, assay = \"GO\") CellDimPlot(pancreas_sub, \"SubCellType\")  pancreas_sub[[\"tech\"]] <- \"Mouse\" panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\"))  genenames <- make.unique(capitalize(rownames(panc8_sub[[\"RNA\"]]), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames, assay = \"RNA\") head(rownames(panc8_sub)) panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"RNA\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\")) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of cells — CellStatPlot","title":"Statistical plot of cells — CellStatPlot","text":"Statistical plot cells","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of cells — CellStatPlot","text":"","code":"CellStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   cells = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of cells — CellStatPlot","text":"srt Seurat object. stat.name metadata column counted. seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of cells — CellStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE) %>% panel_fix(height = 2, width = 3)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", stat_type = \"count\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", bg.by = \"CellType\", palette = \"Set1\", stat_type = \"count\", position = \"dodge\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"pie\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"dot\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", individual = TRUE)   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\", position = \"dodge\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`geom_col()`). #> Warning: Removed 1 rows containing missing values (`geom_text_repel()`).   CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"sankey\")  CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"chord\")   CellStatPlot(pancreas_sub,   stat.by = c(\"CellType\", \"Phase\"), plot_type = \"venn\",   stat_level = list(CellType = c(\"Ductal\", \"Ngn3 low EP\"), Phase = \"S\") )  pancreas_sub$Progenitor <- pancreas_sub$CellType %in% c(\"Ngn3 low EP\", \"Ngn3 high EP\") pancreas_sub$G2M <- pancreas_sub$Phase == \"G2M\" pancreas_sub$Sox9_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Sox9\", ] > 0 pancreas_sub$Neurog3_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Neurog3\", ] > 0 CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"venn\", stat_level = \"TRUE\")  CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"upset\", stat_level = \"TRUE\")  sum(pancreas_sub$Progenitor == \"FALSE\" &   pancreas_sub$G2M == \"FALSE\" &   pancreas_sub$Sox9_Expressed == \"TRUE\" &   pancreas_sub$Neurog3_Expressed == \"FALSE\") #> [1] 218"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Combat_integrate — ComBat_integrate","title":"Combat_integrate — ComBat_integrate","text":"Combat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Combat_integrate — ComBat_integrate","text":"","code":"ComBat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   ComBat_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Combat_integrate — ComBat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Conos_integrate — Conos_integrate","title":"Conos_integrate — Conos_integrate","text":"Conos_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conos_integrate — Conos_integrate","text":"","code":"Conos_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   buildGraph_params = list(),   num_threads = 2,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conos_integrate — Conos_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateDataFile — CreateDataFile","title":"CreateDataFile — CreateDataFile","text":"CreateDataFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateDataFile — CreateDataFile","text":"","code":"CreateDataFile(   srt,   DataFile,   name = NULL,   assays = \"RNA\",   slots = \"data\",   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateDataFile — CreateDataFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateMetaFile — CreateMetaFile","title":"CreateMetaFile — CreateMetaFile","text":"CreateMetaFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateMetaFile — CreateMetaFile","text":"","code":"CreateMetaFile(   srt,   MetaFile,   name = NULL,   write_tools = FALSE,   write_misc = FALSE,   ignore_nlevel = 100,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateMetaFile — CreateMetaFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the default reduction name in a Seurat object. — DefaultReduction","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Find default reduction name Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"DefaultReduction(srt, pattern = NULL, min_dim = 2, max_distance = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"srt Seurat object. pattern Character string containing regular expression search . min_dim Minimum dimension threshold. max_distance Maximum distance allowed match.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Default reduction name.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"data(\"pancreas_sub\") names(pancreas_sub@reductions) #> [1] \"PCA\"  \"UMAP\" DefaultReduction(pancreas_sub) #> [1] \"UMAP\"  # Searches for matches to \"pca\" DefaultReduction(pancreas_sub, pattern = \"pca\") #> [1] \"PCA\"  # Searches for approximate matches to \"pc\" DefaultReduction(pancreas_sub, pattern = \"pc\") #> [1] \"PCA\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"Heatmap plot dynamic features along lineages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"DynamicHeatmap(   srt,   lineages,   features = NULL,   num_intersections = NULL,   use_fitted = FALSE,   border = TRUE,   flip = FALSE,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   cell_density = 1,   cell_bins = 100,   order_by = c(\"peaktime\", \"valleytime\"),   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   family = NULL,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_row_slices = FALSE,   cluster_columns = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"mfuzz\", \"kmeans\", \"kmeans-peaktime\", \"hclust\", \"hclust-peaktime\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   pseudotime_label = NULL,   pseudotime_label_color = \"black\",   pseudotime_label_linetype = 2,   pseudotime_label_linewidth = 3,   heatmap_palette = \"viridis\",   heatmap_palcolor = NULL,   pseudotime_palette = \"cividis\",   pseudotime_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   separate_annotation = NULL,   separate_annotation_palette = \"Paired\",   separate_annotation_palcolor = NULL,   separate_annotation_params = if (flip) list(width = grid::unit(2, \"cm\")) else     list(height = grid::unit(2, \"cm\")),   reverse_ht = NULL,   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-08 18:23:08.544034] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:23:31.517344] RunDynamicFeatures done #> Elapsed time:22.97 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   n_split = 5,   split_method = \"kmeans-peaktime\",   cell_annotation = \"SubCellType\" ) #> 151 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot  panel_fix(ht1$plot, raster = TRUE, dpi = 50)   ht2 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\", \"Pyy\", \"S_score\", \"G2M_score\"),   cell_annotation = \"SubCellType\" ) #> [2023-09-08 18:23:34.85185] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2 #> Warning: Negative values detected! #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:23:36.47529] RunDynamicFeatures done #> Elapsed time:1.62 secs #> Some features were missing in at least one lineage:  #> Isl1,Neurod2,Pyy,Rbp4,Sox9... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot  panel_fix(ht2$plot, height = 5, width = 5, raster = TRUE, dpi = 50)   ht3 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   n_split = 5,   split_method = \"kmeans\",   cluster_rows = TRUE,   cell_annotation = \"SubCellType\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 18:15:33.475803 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 18:15:43.822046 ht4 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(height = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> Warning: no DISPLAY variable so Tk is not available #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht4$plot   ht5 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(width = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\",   flip = TRUE, column_title_rot = 45 ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht5$plot   ht6 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 5, split_method = \"mfuzz\",   species = \"Mus_musculus\", db = \"GO_BP\",   anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 18:23:59.885751] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: GO_BP #> Convert ID types for the database: GO_BP #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 22192 genes mapped with entrez_id #> ============================== #> 22192 genes mapped #> 6372 genes unmapped #> ============================== #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:26:04.544675] Enrichment done #> Elapsed time:2.08 mins #> The size of the heatmap will be fixed as some elements are not scalable. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot for dynamic features along lineages. — DynamicPlot","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"Plot dynamic features along lineages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"DynamicPlot(   srt,   features,   lineages,   group.by = NULL,   cells = NULL,   slot = \"counts\",   assay = NULL,   family = NULL,   exp_method = c(\"log1p\", \"raw\", \"zscore\", \"fc\", \"log2fc\"),   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   compare_lineages = TRUE,   compare_features = FALSE,   add_line = TRUE,   add_interval = TRUE,   line.size = 1,   line_palette = \"Dark2\",   line_palcolor = NULL,   add_point = TRUE,   pt.size = 1,   point_palette = \"Paired\",   point_palcolor = NULL,   add_rug = TRUE,   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   aspect.ratio = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)  DynamicPlot(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_features = TRUE ) #> [2023-09-08 18:27:15.709469] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:27:17.566956] RunDynamicFeatures done #> Elapsed time:1.86 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE ) #> [2023-09-08 18:27:18.151803] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:27:19.981042] RunDynamicFeatures done #> Elapsed time:1.83 secs #> [2023-09-08 18:27:19.982836] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:27:21.596685] RunDynamicFeatures done #> Elapsed time:1.61 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = FALSE,   compare_features = FALSE ) #> [2023-09-08 18:27:22.936706] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:27:24.675797] RunDynamicFeatures done #> Elapsed time:1.74 secs #> [2023-09-08 18:27:24.677631] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:27:26.293172] RunDynamicFeatures done #> Elapsed time:1.62 secs"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"EnrichmentPlot — EnrichmentPlot","title":"EnrichmentPlot — EnrichmentPlot","text":"EnrichmentPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"EnrichmentPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"bar\", \"dot\", \"lollipop\", \"network\", \"enrichmap\", \"wordcloud\",     \"comparison\"),   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   compare_only_sig = FALSE,   topTerm = ifelse(plot_type == \"enrichmap\", 100, 6),   topWord = 100,   word_type = c(\"term\", \"feature\"),   word_size = c(2, 8),   min_word_length = 3,   network_layout = \"fr\",   network_labelsize = 5,   network_blendmode = \"blend\",   network_layoutadjust = TRUE,   network_adjscale = 60,   network_adjiter = 100,   enrichmap_layout = \"fr\",   enrichmap_cluster = \"fast_greedy\",   enrichmap_label = c(\"term\", \"feature\"),   enrichmap_labelsize = 5,   enrlichmap_nlabel = 4,   enrichmap_show_keyword = FALSE,   enrichmap_mark = c(\"ellipse\", \"hull\"),   enrichmap_expand = c(0.5, 0.5),   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   character_width = 50,   lineheight = 0.7,   palette = \"Spectral\",   palcolor = NULL,   aspect.ratio = 1,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EnrichmentPlot — EnrichmentPlot","text":"plot_type Type plot visualized. pvalueCutoff pvalueCutoff padjustCutoff padjustCutoff topTerm Number terms plot plot_type=\"bar\" plot_type=\"lollipop\". topWord Number features plot plot_type=\"wordcloud\". palette palette combine combine nrow nrow ncol ncol byrow byrow seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 18:27:32.679928] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:27:36.0643] DEtest done #> Elapsed time:3.38 secs pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", species = \"Mus_musculus\") #> [2023-09-08 18:27:36.066902] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:28:20.377749] Enrichment done #> Elapsed time:44.31 secs EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", plot_type = \"bar\")  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\", character_width = 30,   theme_use = ggplot2::theme_classic, theme_args = list(base_size = 10) )  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE) #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.    EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"bar\", ncol = 1)  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"dot\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"lollipop\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\", word_type = \"feature\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", id_use = c(\"GO:0050678\", \"GO:0035270\", \"GO:0090276\", \"GO:0030073\"))  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", network_layoutadjust = FALSE)  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\",   topTerm = 4, network_blendmode = \"average\",   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 5)   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\", enrichmap_expand = c(2, 1))  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   enrichmap_show_keyword = TRUE, character_width = 10 )  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   topTerm = 200, enrichmap_mark = \"hull\", enrichmap_label = \"feature\", enrlichmap_nlabel = 3, character_width = 10,   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 4)   pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", convert_species = TRUE, species = \"Mus_musculus\") #> [2023-09-08 18:28:57.537892] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MP #> Preparing database: DO #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:29:25.350299] Enrichment done #> Elapsed time:27.81 secs EnrichmentPlot(pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", group_use = \"Endocrine\", ncol = 1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Features correlation plot — FeatureCorPlot","title":"Features correlation plot — FeatureCorPlot","text":"Features correlation plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Features correlation plot — FeatureCorPlot","text":"","code":"FeatureCorPlot(   srt,   features,   group.by = NULL,   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   cor_method = \"pearson\",   adjust = 1,   margin = 1,   reverse = FALSE,   add_equation = FALSE,   add_r2 = TRUE,   add_pvalue = TRUE,   add_smooth = TRUE,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = NULL,   pt.alpha = 1,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Features correlation plot — FeatureCorPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Features correlation plot — FeatureCorPlot","text":"","code":"data(\"pancreas_sub\") FeatureCorPlot(pancreas_sub, features = c(\"Ghrl\", \"Gcg\", \"Ins1\", \"Ins2\"), group.by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"Plotting cell points reduced 2D plane coloring according values features.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"FeatureDimPlot(   srt,   features,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   show_stat = TRUE,   palette = ifelse(isTRUE(compare_features), \"Set1\", \"Spectral\"),   palcolor = NULL,   pt.size = NULL,   pt.alpha = 1,   bg_cutoff = 0,   bg_color = \"grey80\",   keep_scale = NULL,   lower_quantile = 0,   upper_quantile = 0.99,   lower_cutoff = NULL,   upper_cutoff = NULL,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   compare_features = FALSE,   color_blend_mode = c(\"blend\", \"average\", \"screen\", \"multiply\"),   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   hex = FALSE,   hex.linewidth = 0.5,   hex.color = \"grey90\",   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . cells Subset cells plot. slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. show_stat Whether show statistical information plot. palette Name color palette name collected SCP. palcolor Custom colors used create color palette. pt.size Point size plotting. pt.alpha Point transparency. bg_cutoff Background cutoff. Points feature values lower cutoff considered background colored bg_color. bg_color Color value background points. keep_scale handle color scale across multiple plots. Options : NULL (scaling): individual plot scaled maximum expression value feature condition provided 'split.'. aware setting NULL result color scales comparable plots. \"feature\" (default; row/feature scaling): plots individual feature scaled maximum expression feature across conditions provided 'split.'. \"\" (universal scaling): plots features conditions scaled maximum expression value feature highest overall expression. lower_quantile, upper_quantile, lower_cutoff, upper_cutoff Vector minimum maximum cutoff values quantile values feature. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cells. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. calculate_coexp Whether calculate co-expression value (geometric mean) features. compare_features Whether show values multiple features single plot. color_blend_mode Blend mode use compare_features = TRUE label Whether feature name labeled center location cells wieh high expression. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether labels feature names instead numbers. Valid compare_features = TRUE. label_repel Logical value indicating whether label repel away center location. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points label_segment_color Color line segment labels. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.color Border color hexagonal bins. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless number features greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"single ggplot object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 18:29:43.942577] Start Standard_SCP #> [2023-09-08 18:29:43.942781] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:29:45.104409] Finished checking. #> [2023-09-08 18:29:45.104615] Perform ScaleData on the data... #> [2023-09-08 18:29:45.218847] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:29:45.994193] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:29:46.110302] Reorder clusters... #> [2023-09-08 18:29:46.322314] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 18:29:54.744274] Standard_SCP done #> Elapsed time: 10.8 secs  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", bg_cutoff = -Inf)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   FeatureDimPlot(pancreas_sub, features = c(\"StandardPC_1\", \"StandardPC_2\"), reduction = \"UMAP\", bg_cutoff = -Inf)   # Label and highlight cell points FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", reduction = \"UMAP\", label = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Delta\"] )  FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Chane the plot type from point to the hexagonal bin FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 3 rows containing missing values (`geom_hex()`). #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\")  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_whiskers = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_span = 0.1)   FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_quantile = 0, upper_quantile = 0.8)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_cutoff = 1, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", bg_cutoff = 2, lower_cutoff = 2, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", keep_scale = \"all\")  FeatureDimPlot(pancreas_sub, c(\"Sst\", \"Ghrl\"), split.by = \"Phase\", reduction = \"UMAP\", keep_scale = \"feature\")   FeatureDimPlot(pancreas_sub,   features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), pt.size = 1,   compare_features = TRUE, color_blend_mode = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"blend\", title = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"average\", title = \"average\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"screen\", title = \"screen\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"multiply\", title = \"multiply\",   label = TRUE, label_insitu = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"Plotting cell points reduced 3D space coloring according gene expression cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"FeatureDimPlot3D(   srt,   features = NULL,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   split.by = NULL,   slot = \"data\",   assay = NULL,   calculate_coexp = FALSE,   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. calculate_coexp Whether calculate co-expression value (geometric mean) features. pt.size Point size plotting. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cells. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless number features greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 18:30:19.39726] Start Standard_SCP #> [2023-09-08 18:30:19.397457] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:30:20.399337] Finished checking. #> [2023-09-08 18:30:20.399538] Perform ScaleData on the data... #> [2023-09-08 18:30:20.514284] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:30:21.300165] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:30:21.415524] Reorder clusters... #> [2023-09-08 18:30:21.602351] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 18:30:29.784066] Standard_SCP done #> Elapsed time: 10.39 secs  FeatureDimPlot3D(pancreas_sub, features = c(\"Ghrl\", \"Ins1\", \"Gcg\", \"Ins2\"), reduction = \"StandardpcaUMAP3D\")  {\"x\":{\"visdat\":{\"1f9f3082c1bc\":[\"function () \",\"plotlyVisDat\"],\"1f9f4968fece\":[\"function () 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Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
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split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
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split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
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split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
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split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
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split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
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split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
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split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
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split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
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split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
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split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
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split.by:All_cells\",\"Cell:CACTCCACATATGGTC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
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split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
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split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
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split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
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split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
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split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
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split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
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split.by:All_cells\",\"Cell:GTACGTACATCGATGT
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split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
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split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
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split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
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split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0.84
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:1.139
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0.853
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:1.481
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0.91
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0.844
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0.902
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.535
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:1.109
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0.812
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:6.57
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0.957
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:4.927
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0.908
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0.757
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:1.09
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.85
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:3.257
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:5.136
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:6.653
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0.842
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.53
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.589
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:5.156
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.484
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0.947
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0.921
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:5.314
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:6.473
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:5.872
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.411
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:1.036
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0.993
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:6.419
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0.937
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:2.554
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:2.015
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0.84
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:1.117
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:1.355
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:3.673
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:2.156
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.391
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0.497
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:4.099
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0.89
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0.822
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0.901
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0.969
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:1.203
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0.927
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:1.137
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.416
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:4.596
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0.903
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:6.061
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:5.461
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:1.089
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:1.113
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:1.08
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:5.028
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0.861
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:4.124
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.577
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:4.219
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:3.683
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0.939
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:4.766
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:2.499
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:4.628
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.64
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:6.349
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0.913
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:1.182
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0.778
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:2.013
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:6.37
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0.862
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.757
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0.741
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:1.142
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:5.525
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0.938
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:1.021
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.981
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0.964
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0.528
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.742
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0.896
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:5.63
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0.587
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:5.36
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:6.144
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:5.156
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:1
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:5.796
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:1.104
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0.699
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:6.552
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0.556
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:1.765
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:1.046
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0.878
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:1.058
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.222
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0.996
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.386
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:5.28
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0.737
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:1.008
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0.91
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0.9
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.887
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:6.839
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:1.127
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0.791
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:1.073
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0.942
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.049
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:1.027
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:1.02
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:7.169
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0.815
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:4.114
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0.575
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0.899
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:5.145
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:5.732
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0.916
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0.794
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:2.825
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:6.059
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:4.643
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0.963
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:4.015
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0.93
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:1.311
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:5.314
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.839
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0.995
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0.924
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:1.338
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:6.059
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:4.824
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:1.323
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:5.795
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:6.468
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:2.958
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:1.4
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:1.116
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0.745
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:6.055
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:6.272
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0.947
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:1.014
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:6.176
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.768
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.313
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:3.458
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.712
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:1.592
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:5.345
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:1.096
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.012
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:1.886
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:3.132
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:1.62
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:1.694
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:1.29
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0.91
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:6.192
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0.939
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:6.366
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:1.25
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0.842
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0.948
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
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split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
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split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
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split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
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split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
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split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
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split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
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split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
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split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
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split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
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Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:3.493
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:6.349
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:1.038
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:5.73
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0.783
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:1.306
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:5.984
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:5.254
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:6.46
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0.584
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:2.533
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:1.42
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:5.216
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0.884
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:3.02
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0.924
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:4.731
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:6.515
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:6.334
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:4.903
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0.734
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:3.131
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0.691
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0.943
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:5.825
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0.887
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:1.015
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:1.351
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:6.297
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:1.18
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:1.111
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0.897
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:1.011
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:4.91
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:7.089
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:1.007
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:6.82
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:6.297
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0.566
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0.666
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:1.36
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:3.925
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0.685
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:6.43
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:5.821
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:6.856
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:1.507
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0.719
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:1.576
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:6.048
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:1.067
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:1.399
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:2.386
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:4.293
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:1.113
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0.911
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0.702
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:6.368
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:5.618
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0.825
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0.924
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:1.217
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:2.579
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:6.646
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:0
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0.675
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:4.507
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:5.662
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.934
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:5.585
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:1.378
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0.735
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:6.191
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0.683
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:5.53
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:1.197
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:2.681
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:1.03
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:4.036
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0.667
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:6.224
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0.705
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0.814
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:1.062
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:4.437
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:1.249
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:6.458
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:1.062
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:6.476
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:1.071
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:2.536
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:1.916
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:2.205
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:1.134
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:3.255
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0.995
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0.873
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:5.921
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0.996
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:4.545
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:2.727
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:6.203
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:4.692
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:6.885
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.539
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0.913
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:4.965
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:6.664
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0.459
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:3.575
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:6.355
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:6.37
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0.924
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0.458
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:1.069
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:2.05
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:6.376
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:5.968
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:1.2
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0.83
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.136
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:1.195
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0.668
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0.814
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:6.505
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:1.01
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:6.843
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:6.682
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:1.584
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:6.219
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:1.064
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:5.62
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:4.867
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:6.057
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:1.002
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0.649
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:7.095
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:5.09
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.645
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:1.27
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:4.442
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.14
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:5.553
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:6.877
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:1.013
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:1.085
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:2.827
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0.886
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:1.117
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:6.699
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:5.622
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0.718
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:6.716
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:0.83
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0.875
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0.796
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:6.084
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:5.749
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:5.952
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0.583
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:6.769
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:6.64
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
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Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
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split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
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split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
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split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
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split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
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split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
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split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
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split.by:All_cells\",\"Cell:CTCACACGTCACACGC
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split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
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split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
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split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
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split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
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split.by:All_cells\",\"Cell:CACTCCACATATGGTC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
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split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
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split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
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split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
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split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
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split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
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split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
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split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
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split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
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split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
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split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
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split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0.886
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:2.314
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0.975
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:4.837
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:3.477
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.69
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:2.694
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:4.918
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:3.315
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:1.731
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.362
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:2.982
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:4.816
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:4.8
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:1.223
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.432
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:4.712
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.391
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:4.41
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:4.441
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:1.461
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:4.938
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.788
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:4.001
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:5.215
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:1.317
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0.862
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:1.068
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.894
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0.7
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:4.248
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.141
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:3.402
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:4.644
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:4.435
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:4.669
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:2.888
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:3.415
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.072
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:3.238
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:4.992
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:3.533
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:2.592
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:1.885
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:1.549
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:3.699
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:5.201
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:4.483
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.126
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:4.442
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0.906
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0.924
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:1.127
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.24
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.421
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:1.229
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:4.371
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:4.473
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:5.257
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:4.17
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:4.908
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:5.595
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:4.08
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0.961
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:2.147
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.067
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.758
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:2.754
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:4.659
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:5.933
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:1.186
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.646
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:5.499
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:3.554
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:3.394
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:4.163
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:3.255
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:1.139
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:5.66
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:5.119
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:2.746
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:2.979
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:1.787
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:1.115
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:2.056
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:4.89
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:3.706
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:4.696
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:4.66
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0.762
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:3.856
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.589
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:5.286
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:5.89
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.6
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.114
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:4.027
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0.865
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.393
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:0
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:3.755
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.222
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:2.609
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:2.134
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:1.379
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:4.636
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:5.053
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
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Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
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split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
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split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
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split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
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split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
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split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
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split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
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split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
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split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
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split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
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split.by:All_cells\",\"Cell:CTCACACGTCACACGC
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split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
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split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
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split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
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split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
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split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
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split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
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split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
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split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
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split.by:All_cells\",\"Cell:CACTCCACATATGGTC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
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split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
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split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
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split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
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split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
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split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
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split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
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split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
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split.by:All_cells\",\"Cell:GTACGTACATCGATGT
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split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
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split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
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split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
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split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
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split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
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— FeatureHeatmap","title":"FeatureHeatmap — FeatureHeatmap","text":"FeatureHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"FeatureHeatmap(   srt,   features = NULL,   cells = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   max_cells = 100,   cell_order = NULL,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"FeatureHeatmap — FeatureHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 18:30:31.875475] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:30:35.071478] DEtest done #> Elapsed time:3.2 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht1 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\", ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   ht2 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = c(\"CellType\", \"SubCellType\"), n_split = 4,   cluster_rows = TRUE, cluster_row_slices = TRUE, cluster_columns = TRUE, cluster_column_slices = TRUE,   ht_params = list(row_gap = grid::unit(0, \"mm\")) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 18:30:56.371411] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:31:31.498333] Enrichment done #> Elapsed time:35.13 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 18:15:33.475803 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 18:15:43.822046 ht4 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht4$plot   ht5 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\"),   flip = TRUE, column_title_rot = 45 ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht5$plot   pancreas_sub <- RunPAGA(   srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. ht6 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, nlabel = 10,   cell_order = names(sort(pancreas_sub$dpt_pseudotime)),   cell_annotation = c(\"CellType\", \"dpt_pseudotime\"),   cell_annotation_palette = c(\"Paired\", \"cividis\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of features — FeatureStatPlot","title":"Statistical plot of features — FeatureStatPlot","text":"Statistical plot features","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"FeatureStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   fill.by = c(\"group\", \"feature\", \"expression\"),   cells = NULL,   slot = c(\"data\", \"counts\"),   assay = NULL,   keep_empty = FALSE,   individual = FALSE,   plot_type = c(\"violin\", \"box\", \"bar\", \"dot\", \"col\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   add_box = FALSE,   box_color = \"black\",   box_width = 0.1,   box_ptsize = 2,   add_point = FALSE,   pt.color = \"grey30\",   pt.size = NULL,   pt.alpha = 1,   jitter.width = 0.5,   add_trend = FALSE,   trend_color = \"black\",   trend_linewidth = 1,   trend_ptsize = 2,   add_stat = c(\"none\", \"mean\", \"median\"),   stat_color = \"black\",   stat_size = 1,   cells.highlight = NULL,   cols.highlight = \"red\",   sizes.highlight = 1,   alpha.highlight = 1,   calculate_coexp = FALSE,   same.y.lims = FALSE,   y.min = NULL,   y.max = NULL,   y.trans = \"identity\",   y.nbreaks = 5,   sort = FALSE,   stack = FALSE,   flip = FALSE,   comparisons = NULL,   ref_group = NULL,   pairwise_method = \"wilcox.test\",   sig_label = c(\"p.signif\", \"p.format\"),   multiplegroup_comparisons = FALSE,   multiple_method = \"kruskal.test\",   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = \"Expression level\",   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of features — FeatureStatPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\") %>% panel_fix(height = 1, width = 2)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"box\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"bar\") #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required.  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"dot\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"col\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_box = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_point = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", add_box = TRUE, add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", comparisons = TRUE) #> Install package: \"ggpubr\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'ggpubr' #> also installing the dependencies ‘corrplot’, ‘ggsci’, ‘polynom’, ‘rstatix’ #> Warning: Detected more than 2 groups. Use multiple_method for comparison #> Warning: Detected more than 2 groups. Use multiple_method for comparison  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", fill.by = \"expression\", palette = \"Blues\", same.y.lims = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", multiplegroup_comparisons = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")))  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")), sig_label = \"p.format\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", bg.by = \"CellType\", add_box = TRUE, stack = TRUE)  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   legend.position = \"top\", legend.direction = \"horizontal\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE )  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   fill.by = \"feature\", plot_type = \"box\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE, flip = TRUE ) %>% panel_fix_single(width = 8, height = 5) # Because the plot is made by combining, we want to adjust the overall height and width"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":null,"dir":"Reference","previous_headings":"","what":"Fetch data from the hdf5 file — FetchH5","title":"Fetch data from the hdf5 file — FetchH5","text":"Fetch data hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"FetchH5(   DataFile,   MetaFile,   name = NULL,   features = NULL,   slot = NULL,   assay = NULL,   metanames = NULL,   reduction = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fetch data from the hdf5 file — FetchH5","text":"reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") srt <- FetchH5(DataFile = \"./SCExplorer/Data.hdf5\", MetaFile = \"./SCExplorer/Meta.hdf5\", features = c(\"Ins1\", \"Ghrl\"), metanames = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") CellDimPlot(srt, group.by = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") FeatureDimPlot(srt, features = c(\"Ins1\", \"Ghrl\"), reduction = \"UMAP\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GSEA Plot — GSEAPlot","title":"GSEA Plot — GSEAPlot","text":"GSEA Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GSEA Plot — GSEAPlot","text":"","code":"GSEAPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"line\", \"comparison\"),   palette = \"Spectral\",   palcolor = NULL,   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 6,   only_pos = FALSE,   compare_only_sig = FALSE,   subplots = 1:3,   rel_heights = c(1.5, 0.5, 1),   rel_width = 3,   linewidth = 1.5,   line_alpha = 1,   line_color = \"#6BB82D\",   n_coregene = 10,   sample_coregene = FALSE,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   base_size = 12,   character_width = 50,   lineheight = 0.7,   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GSEA Plot — GSEAPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GSEA Plot — GSEAPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 18:34:09.362484] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:39:11.633261] DEtest done #> Elapsed time:5.04 mins pancreas_sub <- RunGSEA(pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-08 18:39:11.638249] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:44:39.370959] GSEA done #> Elapsed time:5.46 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\")) %>%   panel_fix_single(width = 5) # Because the plot is made by combining, we want to adjust the overall height and width  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE)  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", pvalueCutoff = 0.05, padjustCutoff = NULL, only_pos = TRUE, compare_only_sig = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":null,"dir":"Reference","previous_headings":"","what":"Gene ID conversion function using biomart — GeneConvert","title":"Gene ID conversion function using biomart — GeneConvert","text":"function can convert different gene ID types within one species bewteen two species using biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"GeneConvert(   geneID,   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = NULL,   Ensembl_version = 103,   biomart = NULL,   mirror = NULL,   max_tries = 5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gene ID conversion function using biomart — GeneConvert","text":"geneID vector geneID character. geneID_from_IDtype ID type geneID. e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" geneID_to_IDtype ID type convert . e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" species_from Latin names animals input geneID. species_to Latin names animals output geneID. e.g. \"Homo_sapiens\",\"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. biomart BioMart database name want connect . (\"ensembl\", \"protists_mart\", \"fungi_mart\", \"plants_mart\") mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gene ID conversion function using biomart — GeneConvert","text":"list.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"res <- GeneConvert(   geneID = c(\"CDK1\", \"MKI67\", \"TOP2A\", \"AURKA\", \"CTCF\"),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = \"Mus_musculus\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 5 genes mapped with ensembl_symbol #> ============================== #> 5 genes mapped #> 0 genes unmapped #> ============================== str(res) #> List of 7 #>  $ geneID_res     :'data.frame':\t5 obs. of  4 variables: #>   ..$ from_IDtype: chr [1:5] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   ..$ from_geneID: chr [1:5] \"CTCF\" \"CDK1\" \"TOP2A\" \"AURKA\" ... #>   ..$ to_IDtype  : chr [1:5] \"entrez_id\" \"entrez_id\" \"entrez_id\" \"entrez_id\" ... #>   ..$ to_geneID  : int [1:5] 13018 12534 21973 20878 17345 #>  $ geneID_collapse:'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  :List of 5 #>   .. ..$ : int 20878 #>   .. ..$ : int 12534 #>   .. ..$ : int 13018 #>   .. ..$ : int 17345 #>   .. ..$ : int 21973 #>   .. ..- attr(*, \"class\")= chr \"AsIs\" #>  $ geneID_expand  :'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  : int [1:5] 20878 12534 13018 17345 21973 #>  $ Ensembl_version: chr \"103\" #>  $ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>  $ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>  $ geneID_unmapped: chr(0)   # Convert the human genes to mouse homologs and replace the raw counts in a Seurat object. data(\"pancreas_sub\") counts <- pancreas_sub@assays$RNA@counts res <- GeneConvert(   geneID = rownames(counts),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"symbol\",   species_from = \"Mus_musculus\",   species_to = \"Homo_sapiens\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 15065 genes mapped with ensembl_symbol #> 11 genes mapped with entrez_symbol #> 35 genes mapped with uniprot_symbol #> ============================== #> 15111 genes mapped #> 847 genes unmapped #> ============================== homologs_counts <- counts[res$geneID_expand[, \"from_geneID\"], ] rownames(homologs_counts) <- res$geneID_expand[, \"symbol\"] homologs_counts <- aggregate(homologs_counts, by = list(row.names(homologs_counts)), FUN = sum) rownames(homologs_counts) <- homologs_counts[, 1] homologs_counts <- as(as.matrix(homologs_counts[, -1]), \"dgCMatrix\") homologs_counts #> 13620 x 1000 sparse Matrix of class \"dgCMatrix\" #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                       #> A1CF             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> A3GALT2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAAS             2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AACS             .  1   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  . #> AADAC            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAGAB            .  .   .  .  .  .  .  2  .  2  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1 #> AAK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AAMDC            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  3  .  .  .  1  .  .  .  . #> AAMP             3  5   2  3  2  1  .  1  1  3  .  2  1  .  2  .  2  3  2  3  1  2  .  2  1  .  1  .  3  2  4  .  3  .  2  1  1  6  8 #> AAR2             .  .   1  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AARD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  4  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AARS1            .  .   2  1  2  .  1  .  1  .  1  2  .  1  .  5  .  .  1  .  .  1  2  .  .  .  .  .  .  .  1  1  .  .  .  2  .  .  1 #> AARS2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AARSD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDH            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDHPPT         .  .   1  3  .  .  .  .  .  1  1  .  .  .  1  1  1  .  .  1  .  1  1  1  1  .  1  .  .  1  1  1  1  .  .  .  1  .  . #> AASS             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AATF             .  2   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AATK             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABAT             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA1            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  . #> ABCA12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  . #> ABCA4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA7            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB10           .  .   .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2 #> ABCB11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ABCB4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB6            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  1  1  . #> ABCB7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ABCB8            .  .   .  .  1  .  .  1  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  1  3  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ABCB9            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1  .  .  .  .  .  .  1  .  .  .  .  1  . #> ABCC1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC3            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC5            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABCC8            .  .   .  4  .  .  1  3  .  .  1  .  .  2  .  .  .  .  .  .  .  4  2  3  .  .  .  3 11  4  .  .  .  1  5  5  2  .  1 #> ABCC9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD3            .  .   .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  .  1  .  3  .  .  .  1  1  .  .  .  1  .  .  1  .  1  1 #> ABCD4            .  .   .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCE1            .  1   1  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  .  .  2  .  1  .  .  1  .  .  .  . #> ABCF1            5  2   3  .  .  .  1  1  1  .  1  1  1  3  .  .  1  2  .  .  .  2  .  .  2  .  .  1  2  .  4  1  2  1  .  .  .  1  . #> ABCF2            .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF2-H2BE1      .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF3            .  1   .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  . #> ABCG1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ABCG5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCG8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ABHD10           .  .   .  1  .  .  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  1  .  1  .  .  .  1  1  .  1  .  .  .  .  .  .  .  . #> ABHD11           1  .   4  .  3  .  .  .  .  .  .  .  2  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  2  .  .  .  1  . #> ABHD12           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  3 #> ABHD13           .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  .  .  .  .  .  .  .  . #> ABHD14A          .  .   1  3  1  .  .  .  .  2  .  .  .  1  2  2  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  4  .  .  .  2  . #> ABHD14A-ACY1     .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD14B          .  .   .  .  1  .  .  1  1  .  .  .  .  2  .  1  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  1  .  .  1 #> ABHD15           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD16A          .  .   1  1  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  2  2  .  .  1  3  .  2  1  .  1  .  1  .  1  1  2  .  .  . #> ABHD17A          1  .   3  1  1  .  .  .  1  1  .  .  1  1  .  2  1  .  .  .  .  .  1  2  .  1  .  1  .  2  1  1  .  .  .  .  1  1  . #> ABHD17B          .  .   1  .  .  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  1  .  .  .  .  1  2  .  .  .  .  .  1  .  .  1 #> ABHD17C          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ABHD18           .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD2            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> ABHD3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABHD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD5            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABHD6            .  1   1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> ABHD8            .  .   .  1  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  .  .  .  .  .  .  1  .  .  1  .  .  2 #> ABI1             .  1   1  .  .  .  .  .  1  .  1  2  .  .  .  .  1  .  .  .  .  1  1  .  .  .  2  .  .  1  1  1  .  .  .  .  1  .  1 #> ABI2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  . #> ABI3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABL1             .  .   1  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  . #> ABL2             .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM1           1  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABLIM2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABR              .  .   2  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABRACL           3  .   2  2  1  2  .  1  .  .  2  2  1  .  1  6  1  .  .  .  1  1  .  .  .  1  1  .  1  .  1  1  2  1  1  2  1  1  1 #> ABT1             .  .   1  2  .  1  1  .  .  .  .  1  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  . #> ABTB1            .  .   .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  .  1  .  1  .  1  .  1  .  1  .  1  .  1  .  .  .  . #> ABTB2            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC000120.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC001226.2       2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> AC002094.3       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002310.4       1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002985.1       .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC002996.1       .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> AC003005.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004076.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004556.3       2  .   .  .  1  .  .  2  2  .  .  .  1  .  2  .  1  1  1  1  .  .  .  .  1  .  .  .  1  .  .  2  .  .  .  .  .  2  1 #> AC004593.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004687.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004691.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004832.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004922.1       4  2   3  2  1  1  .  7  2  1  5  3  1  2  4  2  3  .  1  1  1  1  3  6  .  2  2  1  6  1  .  4  3  1  .  2  1  2  3 #> AC004997.1       1  .   .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  . #> AC005041.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005154.5       .  .   2  .  2  .  .  .  2  .  .  .  1  .  .  2  1  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> AC005192.1       .  .   .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2 #> AC005324.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005520.1       1  .   1  1  1  1  .  .  1  1  1  .  .  .  .  .  .  3  .  1  1  .  2  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC005670.2       .  .   1  1  .  .  .  3  .  .  .  .  .  .  .  .  .  1  .  1  .  1  1  1  3  .  .  .  1  1  .  .  .  .  .  .  .  .  1 #> AC005697.1       1  .   .  .  1  .  .  .  .  .  .  .  .  1  2  2  1  .  1  1  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  .  .  1 #> AC005726.1       1  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC005943.1       1  1   5  5  4  4  1  6  1  .  2  .  1 12  2  3  7  2  3  4  1  5  1  7  1  2  2  3  6  3  3  2  3  2  5  4  .  1  6 #> AC006030.1       .  1   .  .  .  .  3  .  .  .  2  1  .  1  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC006059.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC006064.6       2  1   .  3  .  2  2  1  .  1  2  1  1  3  .  1  1  .  .  .  2  2  3  1  1  2  2  .  1  .  1  2  .  .  3  2  2  1  1 #> AC006254.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007040.2       1  .   2  1  1  1  .  .  2  .  1  1  1  1  1  1  1  1  1  .  .  2  1  .  1  .  2  .  .  .  2  .  .  .  .  1  .  .  . #> AC007192.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007326.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007687.1       7  .   8  2  6  .  .  4  4  3  2  7  3  5  8  3  7  2  1  2  8  7  3  1  4  2  3  2  5  6  3  2  1  2  3  6  3  4  7 #> AC008012.1       2  .   1  .  .  4  .  .  1  .  .  .  .  3  . 10  .  .  .  1  .  .  1  .  .  .  8  3  .  1  .  .  .  .  1  .  .  .  . #> AC008073.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008397.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008581.2       .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AC008695.1       .  1   .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1 #> AC008764.1       .  .   .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008770.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC009070.1       5  .   4  .  1  .  .  1  .  .  .  1  .  .  .  1  .  1  1  .  1  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1 #> AC009690.1       .  .   1  1  1  .  .  2  .  .  .  .  1  1  1  2  3  .  .  .  3  .  .  1  .  .  .  .  1  .  .  .  3  1  .  .  .  .  . #> AC009690.3       .  1   .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  . #> AC009779.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC010197.2       1  .   1  .  .  .  1  .  .  .  .  .  .  .  1  4  .  .  2  .  1  .  .  .  .  .  1  .  .  .  7  .  .  .  .  .  .  .  . #> AC010319.2       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1 #> AC010323.1       1  .   7  2  3  2  1  7  3  6  1  2  .  3  1  5  3  2  1  1  5  6  3  5  4  2  4  5  5  4  1  7  2  2  6  2  2  1  6 #> AC010422.3       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010422.5       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010463.1       .  1   2  2  1  2  2  2  1  .  1  .  .  1  .  1  2  .  1  .  .  1  1  .  .  .  1  1  .  1  .  .  2  1  .  .  .  .  3 #> AC010616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011005.1       2  2   8  3  1  2  2  4  4  3  1  1  .  4  6  2  3  1  1  2  1  3  1  2  2  1  2  1  7  3  3  6  4  .  .  2  1  3  1 #> AC011448.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC011455.2       .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  . #> AC011462.1       1  2   1  2  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  1  1  1  .  .  1  1  1  3  .  2  1  .  .  2 #> AC011473.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011479.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011499.1       .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  4 #> AC011511.4       2  .   .  .  .  2  1  1  .  .  1  1  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  2  1  .  .  .  .  1 #> AC012213.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC012488.2       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC013394.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  1  2  1  .  .  .  .  1  .  1  .  1  .  1 #> AC013477.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC013489.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AC013717.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC015802.6       .  1   .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  1  .  .  2  .  1  .  1  2  .  . #> AC016027.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC017083.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC018362.3       1  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> AC019117.1       .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020765.6       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020907.6       .  .   .  4  2  1  .  .  5  2  7  6  2  1  1  1  .  1  1  2  4  .  2  2  8  3  1  .  .  3  .  1  4  1  7  2  .  1  . #> AC021087.5       1  .   1  1  .  1  1  2  1  .  .  2  .  1  2  3  1  .  .  1  .  1  4  1  .  .  1  .  1  1  2  .  2  .  2  2  1  1  1 #> AC021660.3       .  1   .  .  2  .  1  1  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  2  1  .  4 #> AC022384.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  . #> AC022400.5       .  .   1  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022414.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022826.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC023055.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  1  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1 #> AC024592.3       6  2   6  6  7  .  2  8  2  2  1  1  1  3  1  3  5  1  6  7  1  5  3  1  1  5  3  2  6  5  1  2  2  .  4  2  3  4  8 #> AC025165.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC026464.1       .  .   .  1  .  1  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC026464.3       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC026464.4       2  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  1  . #> AC026464.6       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC027644.4       .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC027796.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC034102.2       6  1   3  1  1  .  1  1  1  .  2  .  .  1  .  4  1  .  1  1  .  .  2  .  .  1  4  2  .  2  .  .  .  .  .  1  .  .  . #> AC034228.3       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC036214.3       4  1   4  3  3  3  .  5  2  4  2  5  .  5  .  2  2  .  2  1  .  1  3  .  .  .  2  1  4  8  1  3  2  6  2  4  1  2  4 #> AC037459.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC048338.1       .  .   .  .  1  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC055811.2       .  .   .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  . #> AC055839.2       .  .   .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC064824.1       .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068234.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068533.4       1  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  1  .  1  1  .  .  .  .  .  .  .  2  .  1  .  .  .  .  1  1  1  1  1 #> AC068547.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068580.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068631.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068831.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068946.2       .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC069257.3       .  .   1  1  3  1  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  2  .  .  .  1  1  1  1  .  .  .  1  . #> AC069503.2       .  2   1  .  .  .  1  .  .  2  1  1  1  1  1  .  1  .  .  .  .  1  .  .  .  .  3  1  .  1  1  .  .  1  1  .  1  3  1 #> AC073508.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073612.1       .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073896.1      10  .   9  1  3  4  3  7  3  3  1  3  2  3  1  6  4  2  2  2  4  3  4  3  4  3  2  1  5 13  6  8  4  1  6  6  5  5 12 #> AC074143.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC078815.1       .  .   .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC078927.1       1  .   .  2  1  2  .  2  .  .  1  .  .  1  1  1  2  .  1  .  .  1  1  2  3  .  2  1  2  4  1  3  .  2  1  2  .  1  1 #> AC079447.1       2  .   1  2  4  1  1  3  2  1  .  .  2  1  1  1  1  .  .  1  2  .  1  2  2  3  2  .  1  3  1  2  1  2  3  1  .  2  3 #> AC079594.1       .  .   1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC083977.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC087721.2       2  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC090004.1       1  .   1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  . #> AC090227.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC090517.4       .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC091057.5       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.7       .  .   .  .  .  1  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC091959.1       1  .   .  1  .  .  .  1  .  1  .  .  1  .  1  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> AC092017.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC092042.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC092073.1       .  .   1  .  .  .  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  1  1  .  2  .  .  .  .  .  .  .  .  1 #> AC092143.1       .  1   .  1  .  .  4  3  .  2  .  4  2  .  .  .  1  3  .  1  1  6  .  .  8  4  .  .  7  .  .  4  3  .  .  .  .  .  3 #> AC092647.5       3  1   5  .  1  .  .  2  1  2  1  1  .  1  .  5  2  1  1  .  1  .  2  1  2  1  1  1  2  .  3  3  .  3  1  1  .  .  1 #> AC092718.2       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092718.7       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092835.1       .  .   .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AC093155.3       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  . #> AC093323.1       5  6  12 11  7  2  3  6  6  6  9 11  3  8  2  5 10  5  6 10  6  7 12 11  9  7  3  7 15  1  2  9  7 11  6  4 13  9 10 #> AC093525.1       1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC093525.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093827.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093884.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AC096887.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC097634.4       .  1   1  .  1  .  .  .  .  .  .  .  .  2  1  .  .  2  .  .  .  .  1  .  1  .  .  1  .  3  1  .  .  1  1  1  .  .  1 #> AC104389.5       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC104452.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC104472.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC105052.1       1  1   .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  3  .  .  .  1  1  .  .  1  .  .  .  1  .  1  .  .  .  .  .  .  . #> AC105052.3       3  1   3  .  1  .  .  3  3  2  2  1  .  1  .  3  3  2  2  1  1  1  3  1  .  1  1  .  3  1  3  2  .  4  .  3  2  .  . #> AC106741.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106873.8       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106886.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC108488.2       1  1   .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC109583.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC112128.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC116366.1       3  .   2  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117378.1       2  .   1  .  1  .  .  .  .  .  .  .  .  1  1  2  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117457.1       .  .   .  2  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AC119674.2       .  .   .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC126283.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  . #> AC129492.3       .  1   .  .  .  1  .  .  2  2  1  1  .  .  .  1  .  .  .  3  .  1  2  3  1  1  2  .  2  .  .  1  2  1  2  .  .  .  2 #> AC131160.1       3  .   2  .  .  .  .  1  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  .  .  1  1  1  .  .  2  2  1  1  .  .  .  1  . #> AC136352.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC136475.9       7  2  14  . 14  7  4  2  3  1  1  1  3  3 17 14  2  6  6  2  4  1  5  1  1 13 12  1  1  4 10 12  .  1  .  2  6  7 16 #> AC136616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC137834.1       1  .   .  .  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  1  1  .  1  1  .  .  .  .  .  .  . #> AC138647.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC138696.1       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC139530.2       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC140504.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC142391.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC243967.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC244197.3       .  .   .  .  .  .  .  2  .  .  1  .  1  1  .  1  1  .  .  1  .  1  .  .  .  4  .  .  .  1  .  .  1  .  .  .  .  .  1 #> AC245033.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC245748.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC253536.7       1  .   1  1  .  .  .  2  .  .  .  .  .  .  .  3  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1 #> ACAA1            1  1   4  .  1  1  .  3  .  2  1  1  .  2  2  1  1  3  1  1  1  2  1  1  .  1  1  .  .  2  .  1  1  1  1  1  2  1  1 #> ACAA2            2  .   3  .  .  4  .  1  .  .  .  .  .  .  1  2  1  .  1  .  .  .  .  .  .  1  1  1  .  .  .  1  .  2  .  .  2  2  . #> ACACA            .  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACACB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD10           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD8            .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  1  . #> ACAD9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACADL            .  .   2  .  2  .  .  .  1  .  .  .  .  .  2  1  1  2  .  1  .  .  .  .  .  .  3  1  .  1  2  .  1  .  .  1  1  2  . #> ACADM            1  .   1  1  2  1  .  .  .  .  .  .  .  1  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  1 #> ACADS            .  2   .  2  .  1  .  .  .  .  1  .  2  .  1  .  .  .  .  .  1  .  .  1  .  1  .  1  .  1  3  1  .  .  .  1  .  .  . #> ACADSB           .  .   .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  2  .  1  .  .  .  1  .  .  .  .  .  1  1 #> ACADVL           2  .   1  3  .  .  1  1  .  1  .  2  .  1  2  2  .  .  1  2  .  .  1  .  2  1  .  .  .  .  .  .  1  1  1  2  2  1  1 #> ACAN             .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAT1            3  .   1  1  .  1  .  2  1  2  .  .  .  3  .  2  1  .  .  2  .  .  .  .  1  .  .  2  1  1  .  1  .  .  .  2  .  1  . #> ACAT2            .  .   2  .  1  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  . #> ACBD3            1  .   .  .  1  1  1  .  1  .  .  .  .  2  .  .  1  .  .  .  .  2  1  1  .  .  .  .  .  2  .  .  .  1  .  .  .  .  . #> ACBD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACBD5            .  1   1  .  .  .  1  .  2  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  . #> ACBD6            2  .   1  2  .  .  .  1  1  .  1  .  1  .  1  .  .  1  1  1  .  .  1  .  2  1  1  .  .  .  .  3  .  1  1  1  1  .  1 #> ACBD7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACCS             .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACD              2  1   .  1  .  .  1  2  1  1  .  .  .  .  1  2  .  .  .  1  1  1  .  .  1  1  .  .  .  2  1  .  .  .  .  1  .  .  . #> ACE2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACER2            .  .   3  .  3  .  1  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2 #> ACER3            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  . #> ACIN1            3  2   3  .  .  1  .  1  .  .  1  3  2  .  1  1  3  2  1  .  2  .  1  1  2  .  1  2  1  1  1  .  3  1  1  1  2  .  1 #> ACKR3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACLY             .  .   .  2  1  2  2  4  4  .  .  1  4  .  1  1  .  1  1  .  .  3  2  6  .  2  .  3  8  2  2  3  1  1  1  .  2  .  4 #> ACO1             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ACO2             2  2   1  1  2  3  1  5  3  3  .  .  1  .  1  1  2  1  1  2  2  1  1  .  .  2  2  1  6  1  3  1  2  1  1  1  1  .  3 #> ACOT1            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  . #> ACOT12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT13           2  .   .  1  1  1  .  1  .  .  1  .  .  1  .  2  1  .  .  .  .  .  1  1  1  .  .  1  2  .  1  .  2  3  3  2  .  1  . #> ACOT2            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT7            1  .   1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ACOT8            1  1   .  .  .  .  1  .  .  .  .  1  .  .  2  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  . #> ACOT9            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX1            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  . #> ACOX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOXL            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP2             .  1   1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  3  .  .  1  .  1  1  .  .  . #> ACP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP5             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ACP6             1  .   .  .  .  .  .  .  .  2  .  .  .  1  1  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  1  . #> ACRBP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSBG1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSF2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ACSF3            .  .   2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  2  .  1  1 #> ACSL1            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ACSL3            .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ACSL4            .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ACSL5            3  1   3  .  1  1  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> ACSL6            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSM3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSS3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTB            16 11 154  4 10 17  6 12 19  7  5 15 20 19 27 37 14 10 15  7 24  4  6  4 18 11 32 15 14  3 24 21 13  9  3 11 13  8 16 #> ACTC1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTG1           11 22  23  1 12 20 20  6  8 19 25 13 22  5 26 36 18 16  4  4 19  8 22  3 24 20  7 10  9  1 10 34 26 14  7 12  9 17 14 #> ACTL10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTL6A           1  .   .  .  1  .  1  3  .  .  .  .  .  .  .  2  .  .  1  2  .  .  .  .  .  .  1  .  1  .  .  .  2  .  .  1  2  .  . #> ACTL6B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTN1            2  .   1  .  .  1  .  1  .  1  1  .  .  .  1  3  .  .  .  .  .  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  1  .  . #> ACTN3            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  . #> ACTN4            5  .   1  2  .  1  .  1  .  .  .  2  .  .  2  3  1  .  .  .  .  .  1  2  .  2  2  1  .  .  1  2  1  1  .  .  1  3  1 #> ACTR10           .  1   3  .  .  1  .  2  1  .  1  3  .  .  1  .  1  .  1  2  .  .  1  2  1  .  .  2  2  2  .  .  .  .  .  .  2  1  1 #> ACTR1A           .  1   1  1  .  .  3  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  2  .  1  1  1  2 #> ACTR1B           1  .   2  2  1  .  1  2  1  2  .  .  2  1  .  .  1  .  .  .  1  1  .  1  1  .  .  .  1  1  .  1  .  .  .  3  1  .  . #> ACTR2            1  .   1  .  .  .  1  1  .  1  .  .  2  3  .  2  .  .  .  .  .  2  1  1  .  1  .  .  1  .  .  2  .  .  .  2  .  .  . #> ACTR3            .  4   1  2  2  .  1  .  1  1  1  1  .  2  .  4  1  1  1  2  2  .  4  1  .  .  .  2  1  3  .  5  3  3  2  1  1  4  . #> ACTR3B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR3C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR5            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR8            .  .   .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  2  1  .  . #> ACTRT3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACVR1B           .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ACVR1C           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ACVR2A           .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACVR2B           .  .   1  .  .  1  1  .  .  .  .  .  .  .  .  1  .  3  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  1  .  2  .  1 #> ACVRL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY3             .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACYP1            2  .   1  .  1  .  .  2  .  .  .  1  1  .  2  3  .  .  .  .  1  1  .  1  .  .  1  2  1  .  .  1  .  .  .  .  .  2  1 #> ACYP2            .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1 #> AD000671.1       4  .   4  2  1  .  1  3  2  1  2  .  1  1  3  1  2  1  1  .  1  3  2  1  1  1  2  1  3  7  1  2  3  .  .  4  .  .  . #> ADA              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAL             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM10           .  .   .  .  2  .  .  .  1  .  .  1  .  1  .  .  .  1  1  .  .  1  1  1  1  .  .  1  .  .  1  1  1  .  1  .  .  .  . #> ADAM11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ADAM12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM15           1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM17           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAM21           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM22           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM23           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> ADAM30           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM32           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM9            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS1          5  .   4  .  1  1  .  .  .  .  .  .  .  .  4  4  .  .  1  .  .  .  .  .  .  .  5  1  .  .  6  .  .  .  .  .  .  1  . #> ADAMTS10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS13         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS15         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS16         1  .   2  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  . #> ADAMTS17         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS18         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS19         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS5          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAMTS6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS9          2  .   .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL1         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL2         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL4         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL5         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAR             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ADARB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> ADCK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK5            .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  1 #> ADCY1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ADCY6            1  .   .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> ADCY8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY9            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCYAP1R1        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD1             .  .   1  1  2  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2 #> ADD2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD3             .  .   2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGB             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> ADGRB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRB3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRE5           .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRF5           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG1           1  .   1  1  .  .  4  1  1  .  2  1  .  1  2  1  .  .  1  3  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1  1  1 #> ADGRG2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG6           .  .   3  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL1           .  .   .  1  .  .  .  1  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ADGRL2           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRV1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1A            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1C            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH5             1  1   2  .  2  1  .  1  .  .  .  1  2  .  .  1  1  2  1  .  2  1  1  .  2  .  3  1  1  .  2  2  1  .  .  1  2  1  1 #> ADH7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADI1             .  .   .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ADIPOR1          2  1   2  .  3  .  .  1  .  1  .  .  1  2  1  1  1  .  2  .  2  2  .  1  5  .  .  1  2  1  1  1  .  1  .  1  1  1  3 #> ADIPOR2          1  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  . #> ADK              1  .   2  .  2  .  .  .  .  .  .  .  .  .  2  4  1  .  2  .  .  .  1  1  .  .  .  .  1  .  2  1  1  .  .  .  .  1  . #> ADM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADM2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADNP2            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADO              .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  1  1  .  .  .  .  .  .  1  . #> ADORA1           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ADORA2A          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ADORA2B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADPGK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> ADPRH            .  1   .  .  .  .  1  2  1  .  1  1  .  1  2  3  1  .  .  2  .  2  2  .  .  .  2  1  .  .  .  1  .  1  1  .  2  1  . #> ADPRM            .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  . #> ADRA2A           .  .   .  .  .  .  .  3  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  2  .  .  .  .  2  .  .  .  .  4 #> ADRA2C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADRB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ADRB2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  . #> ADRM1            3  1   3  .  3  1  3  4  .  2  3  .  .  1  1  1  1  1  1  .  .  2  1  1  1  2  1  1  2  1  3  2  2  .  .  3  2  2  5 #> ADSL             1  1   1  1  1  1  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  2  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> ADSS1            2  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADSS2            .  1   .  1  .  1  1  .  .  .  1  1  .  .  1  3  2  .  1  .  .  .  .  .  .  1  1  .  1  .  1  .  1  .  .  .  .  1  . #> AEBP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEBP2            .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AF196969.1       1  1   1  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  2  1  .  .  .  .  .  1  2  1  1  .  .  1  1  .  . #> AF241726.1       1  2   1  6  1  .  1  7  5  3  4  .  1  1  .  .  4  .  .  .  1  4  1  5  .  .  1  7  9  4  .  .  3  1  .  4  1  .  3 #> AFAP1            .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AFAP1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> AFAP1L2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF4             .  .   1  .  1  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  .  1  2  .  1  .  .  .  1  .  .  1  1 #> AFG3L2           .  .   1  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AFM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFP              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFTPH            .  .   .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  .  . #> AGA              .  .   .  .  .  1  1  .  1  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  1  .  .  . #> AGAP1            1  .   .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  . #> AGAP3            .  .   .  .  .  .  .  1  1  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  1  .  2 #> AGBL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1 #> AGER             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGFG1            .  .   .  2  .  .  .  1  1  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  2  1  .  .  .  1  .  1  .  2  .  3 #> AGFG2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGGF1            .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AGK              1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGL              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGMAT            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGMO             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO1             .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO2             .  .   .  .  .  .  1  .  .  .  1  .  2  3  1  1  .  1  .  1  1  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  1  .  3 #> AGO3             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AGPAT1           1  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  .  .  .  . #> AGPAT2           1  .   .  .  3  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  1  .  .  .  .  . #> AGPAT3           1  1   .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> AGPAT4           .  .   .  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> AGPAT5           .  .   1  .  .  .  1  2  .  .  .  .  1  .  .  .  1  1  .  1  .  .  .  2  .  .  .  .  1  .  .  .  1  .  .  .  .  1  1 #> AGPS             .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGR2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGRN             1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AGRP             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGT              .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1 #> AGTPBP1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGTR1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGTRAP           .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  3  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> AGXT             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCTF1           .  .   .  .  .  .  .  .  1  .  .  .  2  .  .  2  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  . #> AHCY             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCYL1           1  .   2  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  1  1  .  1  .  1  .  2  1  .  .  .  .  1  .  .  1  2 #> AHCYL2           .  .   .  1  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AHDC1            1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AHI1             .  .   .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  1  .  .  .  .  .  .  2  .  .  . #> AHNAK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHNAK2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHR              .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHSA1            4  .   2  4  1  1  .  .  4  .  .  2  1  2  2  5  .  2  1  2  1  .  3  .  2  1  1  .  .  3  1  .  6  .  2  3  1  .  . #> AHSG             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIDA             .  .   .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AIF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIF1L            2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIFM1            1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  1  1  .  .  1  .  . #> AIFM2            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  . #> AIFM3            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AIG1             .  .   1  2  1  .  .  1  .  .  .  .  1  .  2  .  .  .  .  .  .  .  1  .  .  .  1  .  1  2  5  .  .  .  .  1  .  1  . #> AIMP1            1  1   3  .  4  .  2  1  2  2  1  .  1  1  1  1  2  1  .  1  1  .  1  1  1  .  1  3  3  .  2  1  1  .  .  1  .  1  4 #> AIMP2            .  .   4  .  .  .  .  1  .  .  .  .  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  3  . #> AIP              1  .   2  2  1  .  .  .  1  .  1  .  1  1  1  .  2  .  1  .  2  .  .  1  1  .  2  1  2  3  1  .  .  .  .  1  1  1  . #> AIPL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIRE             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJUBA            .  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> AK1              .  .   .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  .  1  .  .  3 #> AK2              3  .   5  .  1  .  1  1  1  1  .  1  .  .  1  3  .  1  2  .  .  1  1  1  .  .  2  1  1  .  2  .  1  .  .  2  .  1  . #> AK3              .  .   1  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  2  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  .  1 #> AK4              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK5              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AK7              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK8              .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AKAP10           .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP11           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  1  1  .  2  .  .  1  .  2  .  .  .  1  .  .  .  .  .  1 #> AKAP12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP13           .  .   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP7            .  .   2  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AKAP8            .  1   1  1  .  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  1  2 #> AKAP8L           1  .   1  .  .  1  .  2  .  1  .  .  .  1  .  .  .  1  .  .  .  1  1  .  .  .  .  3  .  2  .  1  2  2  .  .  1  .  . #> AKAP9            1  1   .  .  .  .  3  .  1  1  .  .  2  3  1  2  .  1  1  4  .  3  .  .  1  2  3  1  1  1  1  1  .  1  .  4  2  .  1 #> AKIP1            1  .   .  .  1  1  .  .  .  .  .  .  .  1  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKIRIN1          .  1   1  1  1  .  .  2  3  2  1  .  1  1  .  1  3  .  .  1  .  1  .  .  .  1  1  1  3  .  .  .  1  .  .  .  .  .  . #> AKIRIN2          .  1   3  .  1  3  3  3  2  3  3  .  2  1  1  1  .  2  3  .  .  .  2  1  1  1  .  2  1  1  2  .  1  1  .  3  1  1  2 #> AKNA             .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKR1A1           8  5   7  4  9  7  3  9  7  2  3  5  8  4  3  8  3  1  6  5  4  4  6  2  3  5  5  1  4  5  6  7  4  4  3  5  5  5  6 #> AKR1B1           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AKR1B10          1  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  . #> AKR1E2           .  1   1  .  .  .  .  .  .  .  .  .  1  1  .  3  .  .  .  .  .  .  1  .  .  .  .  .  1  3  1  .  1  1  .  1  .  .  1 #> AKR7L            1  1   1  .  1  1  1  3  1  3  1  1  .  2  4  2  .  2  .  1  .  .  1  .  1  .  1  2  1  1  1  2  .  1  2  .  .  2  1 #> AKT1             .  .   1  2  1  .  .  .  2  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  1  .  .  2  1  1  1  2  1  .  .  1  .  1 #> AKT1S1           3  1   3  .  1  1  1  3  1  1  1  1  3  .  .  .  .  1  .  1  1  3  .  2  3  1  1  .  3  .  1  .  2  2  1  2  2  .  . #> AKT2             .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKT3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKTIP            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AL033529.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL035461.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049629.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049634.2       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL049697.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049779.1       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AL049844.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> AL096711.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL110118.1       .  .   1  .  .  .  1  1  .  1  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  .  . #> AL117348.2       .  1   2  2  2  1  .  5  1  2  1  .  2  2  1  .  2  2  .  2  2  4  3  3  .  2  .  1  3  3  1  1  3  2  4  7  1  .  2 #> AL132671.2       .  .   .  2  .  .  .  .  .  .  .  1  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AL132780.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL133352.1       6  .  12  9  2  1  1  8  3  2  4  3  1  2  3  7  8  1  3  2  2  3  1  3  3  .  2  2  8  4  3  2  1  2  4  7  2  5  4 #> AL133500.1       .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.3       .  1   2  .  1  .  1  .  .  1  .  .  .  .  .  1  .  .  1  2  .  1  .  2  .  .  .  .  .  1  .  .  .  1  .  1  .  1  . #> AL136295.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.5       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL138752.2       .  .   1  1  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL139142.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL139260.3       .  1   .  3  .  .  .  2  1  .  2  .  1  2  2  1  1  1  1  .  1  2  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  . #> AL157392.5       .  .   .  .  .  .  1  .  .  .  .  .  .  2  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL157935.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL159163.1       2  .   .  .  3  2  1  1  2  .  .  2  1  1  2  1  .  .  .  .  .  4  2  1  .  1  .  3  3  2  1  4  .  .  3  1  .  .  . #> AL160269.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL162231.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  1  1  3  1  .  .  .  .  1  1 #> AL162417.1       .  .   .  1  .  .  .  2  .  .  1  .  1  1  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  2  1  1  .  .  .  . #> AL162596.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL353671.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355312.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355315.1       .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> AL355916.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL357075.4       .  .   .  .  .  1  1  1  .  .  .  .  2  .  .  .  4  .  .  .  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  .  1  . #> AL357673.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358113.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358472.6       .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  . #> AL358472.7       2  .   1  1  1  3  .  4  3  1  .  1  1  1  .  4  .  .  .  1  .  .  3  2  1  .  1  1  1  2  1  .  .  .  .  2  .  2  1 #> AL359736.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AL360181.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AL365205.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL391628.1       .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> AL445524.2       .  .   .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  1  .  .  .  1  .  .  .  . #> AL445685.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL451062.2       .  .   .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  . #> AL451136.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512506.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512785.2       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL590132.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL592183.1       .  .   .  .  1  1  2  .  1  1  1  1  1  1  2  2  2  .  1  2  .  .  .  1  .  .  .  .  .  1  1  1  .  .  1  .  .  .  . #> AL603832.3       2  .   .  .  .  2  .  .  1  1  4  .  .  .  2  1  .  .  .  .  1  .  .  1  2  .  1  .  2  .  1  .  2  .  1  2  .  .  . #> AL645941.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL662899.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> AL662899.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL669918.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1 #> AL807752.7       1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL845331.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL928654.3       1  .   1  .  .  1  .  .  .  .  .  .  .  6  .  5  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  1  . #> ALAD             2  .   2  1  .  2  .  1  .  .  1  .  .  .  1  2  .  .  2  .  .  .  .  1  .  .  .  2  1  1  .  .  .  1  .  1  .  .  . #> ALAS1            .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1 #> ALB              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALCAM            .  1   .  1  1  .  .  .  .  .  .  1  1  1  .  .  1  .  .  1  1  .  3  1  .  .  .  1  1  5  1  .  1  .  .  .  .  .  . #> ALDH16A1         1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH18A1         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  3  .  1  .  .  .  1  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  . #> ALDH1A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1B1          3  .   7  .  .  1  .  .  .  1  .  1  2  1  .  .  .  .  .  1  1  1  .  1  .  .  .  .  .  .  .  5  .  .  .  .  2  3  . #> ALDH1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH2            .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> ALDH3B1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALDH3B2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH4A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH5A1          .  .   .  .  .  1  2  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  1  .  .  .  . #> ALDH6A1          .  1   .  .  .  1  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> ALDH7A1          2  .   1  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  1  1  1  .  .  .  1  1 #> ALDH9A1          .  .   .  .  .  2  .  .  1  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  3  .  .  .  .  .  .  .  1 #> ALDOA           10  .   5  2 10  7  2 13  9  1  3  2  4  4  2  7  3  .  2  2  1  2  2  4  3  .  6  2  6  9  4  .  1  3  1  6  .  3  8 #> ALDOB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDOC            5  .   6  1  .  7  .  .  .  .  1  .  .  .  5  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALG1             .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10B           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG11            .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALG12            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALG13            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG14            .  .   2  .  1  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  . #> ALG1L            .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG1L2           .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG3             1  .   1  .  .  .  .  .  .  1  .  .  .  .  1  2  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> ALG5             1  .   2  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  3  .  .  .  .  .  .  .  1  . #> ALG6             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG8             .  .   1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ALG9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  1  .  1 #> ALKBH2           .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH3           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALKBH4           .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  . #> ALKBH5           1  .   3  2  2  .  .  .  1  .  .  .  .  1  .  1  1  1  1  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> ALKBH6           .  2   1  1  1  .  .  4  .  .  .  1  .  1  .  .  .  1  1  1  2  1  2  .  .  .  .  1  .  1  .  .  .  .  1  .  1  1  1 #> ALKBH7           1  1   1  .  .  1  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  1  1  1  1  .  1  .  .  1 #> ALKBH8           .  1   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  .  .  .  .  .  . #> ALLC             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALMS1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX12           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX15B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5AP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOXE3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALPK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPK3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPL             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2CL           .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALX3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALYREF           4  .   4  .  .  1  .  1  .  .  .  1  1  .  .  3  2  2  1  .  1  1  1  .  .  2  3  1  1  2  .  .  1  .  .  .  .  2  4 #> AMACR            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> AMBP             6  1   3  1  2  4  .  9  1  2  .  4  4  1  8  2  .  .  5  1  .  .  .  .  .  1 14  .  .  2  1  .  1  .  1 17  7  3  8 #> AMBRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMD1             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  1  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AMDHD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMDHD2           1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMER1            1  1   .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  1  1  1 #> AMER2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> AMER3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMFR             1  .   .  .  2  .  .  1  .  1  1  .  .  1  .  .  .  .  .  2  .  2  2  .  2  1  1  .  .  .  1  .  .  1  .  .  2  1  1 #> AMH              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMHR2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMIGO1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  . #> AMIGO2           .  .   .  1  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  1  .  .  .  1  2  .  .  .  .  . #> AMIGO3           .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMMECR1          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  . #> AMMECR1L         .  .   .  .  1  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  1  .  1  .  .  .  . #> AMN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMN1             .  .   .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMOT             .  .   2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMOTL1           .  .   1  .  .  .  .  1  .  .  .  .  .  .  4  2  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  3 #> AMOTL2           1  .   2  .  .  2  1  .  .  .  .  1  .  1  1  .  1  1  .  .  .  .  .  .  .  3  1  .  .  .  1  2  .  .  .  .  2  3  3 #> AMPD2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AMPH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMT              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AMZ1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMZ2             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  . #> ANAPC1           .  .   .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANAPC10          1  .   1  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  1  .  .  1  1  1  .  1  .  1  .  1  1  1  .  2  .  .  2  . #> ANAPC13          2  .   1  .  3  3  .  2  3  .  1  1  .  1  1  4  2  .  1  2  .  4  1  5  .  .  2  1  1  2  2  .  .  .  .  .  .  1  2 #> ANAPC15          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ANAPC16          2  .   3  1  .  2  .  1  .  .  1  2  1  .  1  1  .  1  .  .  1  5  .  .  3  4  .  1  4  3  1  1  .  4  .  3  3  1  1 #> ANAPC2           .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  1  .  .  1  .  .  .  .  1  .  .  .  1  1  .  .  1  .  . #> ANAPC4           .  .   .  1  .  .  .  2  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  2  1  .  .  1  1  .  .  .  1  .  .  .  1  .  . #> ANAPC5           4  .   4  2  5  1  1  4  .  .  1  .  1  .  2  2  1  1  4  1  1  3  3  2  .  2  1  1  .  4  1  .  3  2  .  3  4  4  6 #> ANAPC7           .  .   .  .  .  1  .  .  .  2  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANGEL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGEL2           1  1   .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  .  .  1  . #> ANGPT1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPT2           .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANGPTL6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> ANK3             .  .   1  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ANKEF1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKFY1           1  .   .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ANKH             .  .   .  2  .  .  2  .  2  1  .  .  1  .  .  .  3  .  .  .  1  3  .  2  .  .  .  1  1  .  .  .  .  1  2  2  .  .  1 #> ANKHD1           1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKHD1-EIF4EBP3  1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKIB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKLE1           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANKLE2           .  .   1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  2  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ANKMY2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1 #> ANKRA2           .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD10          .  1   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ANKRD11          1  .   .  .  .  .  .  .  .  .  1  .  5  1  .  .  1  .  1  1  1  1  1  1  1  1  .  .  .  .  2  .  .  1  .  .  .  1  1 #> ANKRD12          .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  2  .  .  .  .  . #> ANKRD13A         .  .   .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  . #> ANKRD13B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD13C         .  .   .  .  2  1  .  .  1  .  .  .  .  1  .  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  . #> ANKRD13D         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD16          .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  . #> ANKRD17          1  .   .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  1  .  .  1  1  .  .  .  .  1  .  .  1  .  . #> ANKRD2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  . #> ANKRD24          .  .   .  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ANKRD27          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANKRD28          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD29          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ANKRD31          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD33B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34C         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD35          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD37          .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  .  . #> ANKRD39          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD40          2  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  . #> ANKRD44          .  .   .  .  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  2  .  .  .  1  .  . #> ANKRD45          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD46          1  1   .  1  .  .  1  .  .  .  .  .  .  2  2  .  .  .  .  2  .  1  .  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  1 #> ANKRD49          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD50          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD54          .  2   .  1  .  .  1  2  1  .  1  .  .  1  .  .  1  .  .  3  1  1  .  2  .  .  .  .  .  .  1  1  1  .  .  2  1  1  2 #> ANKRD55          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD6           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD9           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS1A           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ANKS1B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS3            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  1  2  .  .  .  1  .  . #> ANKS4B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  . #> ANKS6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKZF1           .  1   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1 #> ANLN             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> ANO1             .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO10            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO2             .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO6             2  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO8             .  .   .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  . #> ANP32A           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32B           9  1  14  2  5  1  1  2  1  .  2  1  2  3  1  7  2  3  2  1  .  1  6  .  1  2  2  1  3  2  2  1  1  1  3  2  3  2  5 #> ANP32D           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32E           1  .   7  1  6  .  3  .  .  .  .  1  .  4  .  1  1  1  3  1  .  2  1  .  .  .  .  .  1  .  .  .  1  .  .  2  2  1  5 #> ANPEP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  4  .  .  .  .  .  .  .  .  .  3  1  .  .  .  2  .  .  1  1 #> ANTXR1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANTXR2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> ANXA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA13           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA2            8  .   3  .  4  7  .  .  .  .  .  .  .  .  4  8  .  .  1  .  .  .  .  .  1  .  1  .  .  .  3  .  .  .  .  .  .  8  . #> ANXA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA4            2  .   4  .  .  1  2  3  8  5  1  .  3  2  1  .  7  .  4  1  1  2  3  1  .  .  .  .  1  1  1  1  2  2  2  7  .  1  2 #> ANXA5            .  .   .  2  2  3  .  5  .  1  2  .  .  4  3  9  1  .  1  1  2  .  2  3  1  .  3  1  .  1  1  1  .  .  1  6  .  1  1 #> ANXA6            2  .   1  .  1  4  .  4  .  1  .  .  .  .  3  1  2  .  .  1  .  .  5  1  4  1  .  1  .  1  1  .  2  1  1  .  1  1  2 #> ANXA7            .  .   3  .  3  .  .  .  .  .  .  .  .  1  3  3  .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  1  .  .  .  2 #> ANXA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA8L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA9            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP000295.1       .  .   1  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  2  2  .  .  .  .  1  .  . #> AP000311.1      15  2  15  3  8  3  4  6  3  4  1  3  3  4  3  6  6  2  5  4  5  5  4  3  3  2  3  5  3  4  5  2  2  3  3  6  .  5  6 #> AP000356.5       6  2   4  2  3  .  1  3  1  .  .  .  .  3  2  4  1  3  .  .  2  3  1  3  2  .  2  2  3  3  .  1  2  .  .  2  .  4  3 #> AP000944.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AP001267.5       .  .   .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  2  .  .  .  .  2  1  .  1  1  .  . #> AP001273.2       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP001453.3       1  .   2  4  4  2  .  6  .  .  .  .  .  1  1  2  4  .  1  .  .  4  2  6  .  .  .  1  2  4  1  1  2  .  1  7  .  4  5 #> AP001781.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP001931.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002373.1       .  .   1  1  1  1  .  1  .  1  1  .  .  2  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  1  .  2 #> AP002495.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002748.5       .  .   .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AP002884.2       3  .   1  2  4  1  .  2  .  2  .  .  2  4  1  1  1  3  1  2  .  .  3  3  .  1  3  1  1  2  1  3  .  .  4  2  .  .  2 #> AP002990.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> AP003419.1       .  .   1  .  1  .  .  .  1  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  3  2  1  1  2  .  1  .  .  1  1 #> AP1AR            .  .   .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  1  1  .  .  1 #> AP1B1            .  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  . #> AP1G1            .  1   .  1  1  .  .  1  1  1  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  1  .  1  .  .  . #> AP1G2            .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1M1            .  .   1  1  .  .  .  2  .  .  1  .  .  .  1  1  1  .  .  3  1  .  1  .  1  .  .  .  1  .  .  .  .  2  1  2  .  .  . #> AP1M2            .  1   .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  1  .  1  1  1  1  .  1  2  .  2  1  .  2  1  .  .  1  .  .  . #> AP1S1            .  1   3  .  .  1  .  2  .  1  .  1  .  1  1  2  1  2  .  1  .  1  1  5  2  1  1  1  4  2  .  1  5  2  1  1  .  .  2 #> AP1S2            .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1S3            .  .   .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1 #> AP2A1            .  .   1  .  .  .  .  1  .  .  .  1  .  .  1  .  1  .  .  2  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP2A2            .  .   1  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AP2B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP2M1            1  4   1  4  2  2  1  4  3  2  4  1  .  3  1  4  4  3  1  .  3  5  2  4  5  1  1  1  4  6  2  .  4  3  2  6  3  .  5 #> AP2S1            1  2   7  .  7  2  1  7  3  1  .  1  2  4  3  3  5  .  3  7  .  2  1  3  .  3  2  1  2  1  2  2  3  2  3  2  3  2  2 #> AP3B1            .  .   1  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AP3B2            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1 #> AP3D1            .  1   1  2  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  1  2  .  2  1  3  1  .  1  1  .  .  .  .  . #> AP3M1            .  .   1  1  .  2  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP3M2            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP3S1            2  1   .  3  .  .  1  .  .  1  .  2  .  3  1  1  1  1  1  .  1  2  .  2  1  3  .  .  2  1  .  .  5  2  .  .  2  2  1 #> AP3S2            .  .   1  .  2  .  .  1  1  .  1  .  .  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  . #> AP4E1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4M1            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4S1            .  .   1  .  1  .  .  1  .  .  1  .  .  .  .  1  .  .  .  2  .  .  .  2  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP5B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5M1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5S1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5Z1            .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> APAF1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APBA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> APBA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> APBB1            1  .   .  .  .  .  .  2  .  3  1  .  .  2  .  .  .  1  .  1  .  .  .  .  1  .  .  2  .  .  .  .  .  .  3  .  .  .  2 #> APBB1IP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBB2            1  .   .  .  .  .  .  .  .  1  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APC              .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> APC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APCS             .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> APEH             1  .   .  1  4  1  .  .  .  .  .  .  .  .  .  1  2  1  .  .  .  1  .  .  1  .  2  .  1  .  .  .  1  .  .  1  .  .  . #> APEX1            1  2   4  .  .  1  .  1  1  2  .  .  1  1  .  4  3  1  1  2  1  .  2  .  .  .  3  1  1  .  1  2  .  .  1  .  .  3  3 #> APEX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APH1A            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> APH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> API5             .  1   1  .  .  .  .  .  .  .  1  1  .  .  1  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  .  1 #> APIP             1  1   1  .  .  2  .  .  .  .  .  2  1  .  .  1  .  .  2  1  1  .  .  .  1  1  3  .  .  1  1  .  1  .  1  .  1  .  1 #> APLF             .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APLP1            1 10   .  2  .  .  5 12  6  3  9  2  1  4  .  .  7  4  .  7  5  3 15  5  5  .  .  5  4  5  .  2  3  8 10  5  9  .  9 #> APLP2            4  .   1  .  5  3  1  1  .  .  3  1  3  2  2  4  .  1  2  1  1  .  .  .  1  .  1  .  1  2  1  .  2  1  .  .  1  .  1 #> APMAP            .  .   .  1  1  .  1  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> APOA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APOBEC1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC3H         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBR            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOC1            .  2   1  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  3  .  .  .  .  .  .  1  .  .  .  3  2  .  .  .  .  .  .  . #> APOC3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOE             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOF             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOLD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOM             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOO             2  1   .  .  .  .  .  .  .  1  1  .  .  2  1  2  .  .  .  .  2  .  .  .  .  1  .  .  1  2  1  .  2  1  .  .  .  .  1 #> APOOL            .  .   2  .  .  1  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  2  1  1  .  .  .  2  2  .  .  .  .  1  1  1 #> APP              2  1   4  .  2  4  3  2  1  1  2  3  3  1  3  2  1  1  1  1  1  5  2  1  5  3  3  3  .  2  .  2  6  3  1  5  6  1  6 #> APPBP2           1  .   2  .  1  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  1  1  1  2  .  .  1  1  .  .  2  2  1 #> APPL1            1  .   1  .  .  1  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  . #> APPL2            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  1  1 #> APRT             4  .   1  1  .  3  .  2  .  3  .  .  3  7  2  4  2  .  1  .  .  1  1  .  1  .  3  2  1  .  2  1  .  .  .  2  1  .  2 #> APTX             .  .   .  .  .  .  1  1  2  .  .  .  2  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  1  .  .  1  1  .  .  .  .  .  . #> AQP1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP11            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12A           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP4             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP8             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQR              .  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  .  .  . #> ARAF             .  .   .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  3  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARAP1            .  .   .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ARAP2            .  1   .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARC              .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ARCN1            3  1   1  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  1  .  3  .  2  .  .  .  .  1  .  .  .  .  .  2  .  .  .  . #> AREG             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AREL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ARF1             4  4  12  5  3  3  3  9  1  4  3  3  3 11  4  5  3  2  4  5  4  5  4  4  5  7  3  3  4  4  7  5  6  2  3  3  5  3  8 #> ARF3             1  .   1  1  .  1  .  1  2  .  1  .  .  1  .  .  1  .  .  1  1  2  .  2  .  .  .  2  .  .  .  .  .  1  1  1  2  .  1 #> ARF4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARF5             8  4   3  7  5 11 10 10  4  8  3 12  8 11  8  4  5 11  4 13  4 10 12  6  8  3  3  2  7  4  5 26  4  9  6  5 15  9 16 #> ARF6             2  2   4  .  .  .  .  1  .  .  1  .  .  .  1  6  2  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ARFGAP1          .  .   .  .  .  1  .  1  .  .  .  .  1  .  .  .  2  .  .  .  .  1  1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  2 #> ARFGAP2          1  .   .  .  .  .  .  1  .  .  1  1  1  2  .  .  .  .  2  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1  . #> ARFGAP3          .  1   .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  1  .  .  .  2  .  .  .  5  1  .  2  .  .  1  .  2  .  .  .  .  . #> ARFGEF1          1  1   1  .  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2 #> ARFGEF2          1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARFGEF3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARFIP1           .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  1  .  1  .  .  .  . #> ARFIP2           1  .   .  .  .  .  1  .  1  .  .  .  .  .  1  .  .  .  1  1  1  .  5  .  1  .  .  .  .  1  .  1  1  .  .  1  .  2  1 #> ARFRP1           .  .   .  .  .  2  .  .  .  .  2  1  .  .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  1 #> ARG1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  3  1  2  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  . #> ARG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARGLU1           .  1   6  1  .  .  .  .  .  1  1  .  .  6  3  .  1  .  .  .  1  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  2 #> ARHGAP1          .  .   2  1  .  .  1  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  1  .  1  .  .  . #> ARHGAP10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP11A        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP11B        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP12         .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1 #> ARHGAP17         .  .   .  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  1  . #> ARHGAP18         .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  . #> ARHGAP19         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP19-SLIT1   .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP20         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP21         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ARHGAP22         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP23         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP24         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP26         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP27         .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP28         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGAP29         .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP31         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP32         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP33         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP35         .  .   .  .  .  .  1  2  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  2  .  .  .  1  1  .  .  .  .  1  1  1  .  .  . #> ARHGAP36         .  .   .  .  .  .  .  6  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  3  .  .  .  .  .  .  .  .  .  . #> ARHGAP39         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> ARHGAP4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP42         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP44         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP5          .  .   .  .  1  .  1  2  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  2  2  .  .  .  .  1  .  .  .  .  .  2 #> ARHGAP6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP9          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIA          2  .   6  .  3  3  2  3  2  .  .  2  2  2  1  1  1  1  2  1  1  2  4  .  4  1  1  .  1  3  1  4  .  3  .  2  4  4  3 #> ARHGDIB          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIG          .  .   .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> ARHGEF1          1  .   2  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF10L        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ARHGEF11         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF12         1  .   .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF15         .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF16         .  1   .  .  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  2  .  .  1  1  .  1  .  .  .  .  .  .  1  1  1 #> ARHGEF17         .  .   .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  . #>                                                           #> A1CF             . .  .  .  .  .  . .  . .  .  . . ...... #> A3GALT2          . .  .  .  .  .  . .  . .  .  . . ...... #> AAAS             . .  .  .  .  .  . .  . .  .  . . ...... #> AACS             . .  .  .  .  .  1 1  . .  .  . 1 ...... #> AADAC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAGAB            1 .  .  .  .  .  . .  . .  1  . . ...... #> AAK1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AAMDC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAMP             5 1  2  1  1  4  . 1  . 2  1  1 1 ...... #> AAR2             . 1  .  .  .  .  . 1  . .  .  . . ...... #> AARD             . .  .  .  .  .  . .  . 4  .  . . ...... #> AARS1            . 1  1  .  .  1  1 .  1 .  .  . . ...... #> AARS2            . .  .  .  .  .  . .  . .  .  . . ...... #> AARSD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AASDH            . .  .  .  .  .  . .  . .  .  . . ...... #> AASDHPPT         . .  .  .  .  1  . .  . 1  1  . . ...... #> AASS             . .  .  .  .  .  . .  . .  .  . . ...... #> AATF             . .  .  .  .  .  . .  . .  .  . . ...... #> AATK             . .  .  .  .  .  . .  . .  .  . . ...... #> ABAT             . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA1            . .  .  .  .  .  . .  . .  .  2 . ...... #> ABCA12           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA3            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABCA4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA7            1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB10           1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCB11           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB6            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB7            . .  .  .  .  .  . .  1 .  .  . . ...... #> ABCB8            . .  .  .  .  .  . 1  . .  .  . . ...... #> ABCB9            1 1  .  .  .  1  . 1  . .  .  . . ...... #> ABCC1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCC10           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC3            . .  1  .  .  .  . .  . .  .  . . ...... #> ABCC4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC5            1 .  .  .  1  .  . .  . .  .  . . ...... #> ABCC8            6 2  .  .  .  1  . .  . .  .  . 3 ...... #> ABCC9            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCD1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCD3            2 1  2  1  1  .  . .  1 .  .  1 3 ...... #> ABCD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCE1            . 1  .  .  .  1  1 1  . .  .  . . ...... #> ABCF1            1 2  .  1  1  .  1 1  3 .  .  2 1 ...... #> ABCF2            . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF2-H2BE1      . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF3            . .  .  .  .  .  1 .  . .  .  1 . ...... #> ABCG1            . 1  .  .  .  .  . .  . .  .  . 1 ...... #> ABCG5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCG8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD10           . .  .  1  .  .  . .  . .  .  . . ...... #> ABHD11           . 1  2  .  .  .  . .  . .  .  1 . ...... #> ABHD12           . .  .  .  .  .  . .  1 1  .  2 . ...... #> ABHD13           . .  .  1  .  .  . .  1 .  .  . . ...... #> ABHD14A          . .  2  1  .  .  . .  . 1  .  . . ...... #> ABHD14A-ACY1     . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD14B          . .  .  2  .  .  . .  1 .  1  . 1 ...... #> ABHD15           . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD16A          2 .  .  .  .  .  2 .  . .  1  . 1 ...... #> ABHD17A          . .  1  1  .  .  . .  . .  .  . 1 ...... #> ABHD17B          . .  1  .  .  .  . .  . .  .  . . ...... #> ABHD17C          1 .  .  .  .  .  . .  1 .  1  . 1 ...... #> ABHD18           . .  .  .  1  .  . .  1 .  .  . . ...... #> ABHD2            . 2  .  .  .  .  . .  . .  .  . . ...... #> ABHD3            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD5            . 1  .  .  1  .  . .  . .  .  . . ...... #> ABHD6            . .  .  .  1  .  . .  . .  1  . . ...... #> ABHD8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABI1             1 1  .  1  2  .  . .  . 1  .  . . ...... #> ABI2             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABI3             . .  .  .  .  .  . .  . .  .  . . ...... #> ABL1             . 1  .  .  .  .  . .  . .  1  . . ...... #> ABL2             . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM1           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM2           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM3           . .  .  .  .  .  . .  . .  .  . . ...... #> ABR              . .  .  .  .  .  . .  . .  .  1 . ...... #> ABRACL           5 2  1  .  .  2  1 1  4 2  1  3 1 ...... #> ABT1             . 1  .  .  2  .  1 .  . .  2  . . ...... #> ABTB1            1 1  .  1  .  .  1 .  . .  .  . . ...... #> ABTB2            . .  .  .  .  .  . .  . .  .  1 . ...... #> AC000120.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC001226.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AC002094.3       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC002310.4       . .  1  .  .  .  . .  . .  .  . . ...... #> AC002985.1       . .  .  .  .  .  . 2  1 .  1  . . ...... #> AC002996.1       . .  .  .  .  .  . .  1 1  1  . . ...... #> AC003005.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004076.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004556.3       . .  1  .  .  .  . .  1 .  1  . 1 ...... #> AC004593.2       . .  .  1  .  .  . .  . .  .  . . ...... #> AC004687.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004691.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC004832.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004922.1       3 .  2  3  3  .  3 3  5 1  3  1 1 ...... #> AC004997.1       . .  .  .  1  .  . .  . .  .  . . ...... #> AC005041.1       . .  .  .  .  1  . .  . .  .  . . ...... #> AC005154.5       . .  .  1  1  .  . .  1 .  .  . . ...... #> AC005192.1       . 1  .  .  .  .  . .  1 .  .  . . ...... #> AC005324.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005520.1       2 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005670.2       . .  .  1  .  1  . .  1 .  1  . . ...... #> AC005697.1       1 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005726.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005943.1       4 2  4  1  1  .  1 3  6 2  4  1 7 ...... #> AC006030.1       . .  .  .  .  .  . 2  . .  .  1 1 ...... #> AC006059.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC006064.6       1 .  1  .  1  .  . 1  . 3  1  5 3 ...... #> AC006254.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007040.2       1 .  1  .  2  .  . .  . .  1  . 1 ...... #> AC007192.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007326.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007687.1       2 6  8  2  2  2  2 4  4 1  4  3 8 ...... #> AC008012.1       . 1  3  .  .  .  . .  . .  .  1 1 ...... #> AC008073.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008397.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008581.2       . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AC008695.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC008764.1       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC008770.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009070.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009690.1       . 1  .  2  .  1  1 .  2 1  1  1 . ...... #> AC009690.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC009779.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC010197.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC010319.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC010323.1       3 1  8  .  1  1  2 5  1 1  7  . 3 ...... #> AC010422.3       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010422.5       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010463.1       1 2  .  1  1  .  . 3  . .  .  . . ...... #> AC010616.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011005.1       3 2  1  1  3  .  . 1  . 1  2  4 3 ...... #> AC011448.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011455.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011462.1       . .  .  2  1  1  1 .  1 .  1  1 . ...... #> AC011473.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011479.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011499.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011511.4       . .  .  .  .  .  1 .  1 .  1  . . ...... #> AC012213.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC012488.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013394.1       . .  .  .  .  .  . .  3 .  .  . . ...... #> AC013477.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013489.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013717.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC015802.6       1 .  1  1  1  .  1 .  1 .  1  . . ...... #> AC016027.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC017083.3       . .  .  .  .  .  . .  . .  .  1 . ...... #> AC018362.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC019117.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC020765.6       . .  .  .  .  .  . .  . .  1  . . ...... #> AC020907.6       . 1  2 10  3  7  2 1  . 3  3  5 . ...... #> AC021087.5       . .  1  1  1  .  . 1  . 1  .  . 1 ...... #> AC021660.3       1 .  .  .  1  .  . .  . .  .  1 . ...... #> AC022384.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022400.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022414.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022826.2       . .  .  .  .  .  . .  . .  .  . 1 ...... #> AC023055.1       . .  .  .  1  1  . 1  . 1  1  . . ...... #> AC024592.3       6 4  3  3  3  .  3 1  1 1  3  . 6 ...... #> AC025165.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC026464.1       1 .  1  .  .  1  . 1  . .  .  . . ...... #> AC026464.3       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC026464.4       . .  2  .  .  .  1 .  . .  .  . . ...... #> AC026464.6       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC027644.4       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC027796.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC034102.2       3 2  1  .  .  1  . 1  . .  1  1 . ...... #> AC034228.3       . .  .  .  .  1  . .  . .  .  . . ...... #> AC036214.3       1 .  1  2  3  .  4 3  1 4  5  . 2 ...... #> AC037459.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC048338.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC055811.2       . .  .  .  1  .  . .  1 1  .  . . ...... #> AC055839.2       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC064824.1       . .  1  .  .  .  1 .  . 1  .  . . ...... #> AC068234.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068533.4       . 1  2  .  .  .  1 .  . 1  .  . . ...... #> AC068547.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068580.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068631.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068831.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068946.2       . .  .  2  .  .  1 .  . .  .  . . ...... #> AC069257.3       . .  .  .  .  .  . .  . 1  1  . . ...... #> AC069503.2       . .  .  .  .  .  . 1  . 2  .  1 . ...... #> AC073508.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC073612.1       . .  .  1  .  .  . .  . 1  .  1 . ...... #> AC073896.1       5 4  3  2  3  2  3 2  5 3  6  1 2 ...... #> AC074143.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078815.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078927.1       1 1  1  .  .  1  1 1  . 2  1  . . ...... #> AC079447.1       2 2  3  1  .  2  2 2  4 1  4  . 3 ...... #> AC079594.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC083977.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC087721.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090004.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090227.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090517.4       1 .  .  1  1  1  . .  . .  .  . . ...... #> AC091057.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.7       . 1  .  .  .  .  1 .  . .  .  . 1 ...... #> AC091959.1       . 1  .  .  .  .  1 3  . .  .  . . ...... #> AC092017.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092042.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092073.1       . .  .  1  .  .  1 1  . .  1  . . ...... #> AC092143.1       5 1  .  2  7  .  . 1  . 1  .  5 2 ...... #> AC092647.5       . .  2  .  2  .  . 3  1 .  2  2 . ...... #> AC092718.2       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092718.7       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092835.1       . .  .  1  .  .  . .  . .  1  . . ...... #> AC093155.3       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AC093323.1      12 7  1 11  5  2  4 7  8 8  6  8 4 ...... #> AC093525.1       . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AC093525.2       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC093827.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC093884.1       . .  1  1  .  .  . .  . .  .  . . ...... #> AC096887.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC097634.4       . 1  3  2  3  .  1 .  . .  .  . 1 ...... #> AC104389.5       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC104452.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC104472.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC105052.1       . .  .  6  .  .  . .  . .  .  . . ...... #> AC105052.3       . .  3  .  2  1  1 1  1 .  .  . 3 ...... #> AC106741.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC106873.8       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC106886.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC108488.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC109583.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC112128.1       . .  .  1  .  .  . .  . .  .  . . ...... #> AC116366.1       . .  .  .  .  .  . 1  . .  .  1 1 ...... #> AC117378.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC117457.1       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC119674.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC126283.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC129492.3       . .  1  1  .  1  3 1  . .  1  . . ...... #> AC131160.1       . 1  2  .  2  1  1 .  . 1  3  . . ...... #> AC136352.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC136475.9       1 1  6  7  1  1  . 1  8 .  8 10 . ...... #> AC136616.1       . .  .  1  1  .  . .  . .  .  . . ...... #> AC137834.1       1 2  .  1  1  .  . .  . .  1  . . ...... #> AC138647.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC138696.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC139530.2       . .  .  .  .  .  . 1  . 1  1  . . ...... #> AC140504.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC142391.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC243967.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC244197.3       . .  .  1  1  .  . .  . .  .  . 1 ...... #> AC245033.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC245748.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC253536.7       . .  .  1  .  1  . .  . .  3  . 1 ...... #> ACAA1            3 3  .  1  .  1  1 .  4 .  .  1 1 ...... #> ACAA2            1 .  .  1  .  .  . .  . .  3  . . ...... #> ACACA            . .  1  .  .  .  . .  . 1  .  . . ...... #> ACACB            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD8            1 1  .  1  .  .  . .  1 .  .  . . ...... #> ACAD9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACADL            . 2  2  1  .  .  . 1  . 1  1  . . ...... #> ACADM            . .  2  1  .  .  . .  . 1  2  . 1 ...... #> ACADS            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ACADSB           1 .  .  .  .  .  . .  2 .  .  . 1 ...... #> ACADVL           . .  2  .  .  2  2 1  . 1  .  . 1 ...... #> ACAN             . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP2            . .  .  .  1  .  . 1  . .  .  . . ...... #> ACAP3            . .  .  .  1  .  . .  . .  .  . . ...... #> ACAT1            1 1  .  .  .  .  1 .  . .  1  . . ...... #> ACAT2            . 1  .  .  .  .  . 1  . .  2  . . ...... #> ACBD3            1 2  2  .  1  1  . .  1 .  .  . . ...... #> ACBD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACBD5            . 1  1  1  .  .  . .  . .  .  . 1 ...... #> ACBD6            . 1  2  2  1  1  . 1  . 2  .  1 1 ...... #> ACBD7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACCS             . .  .  .  .  .  . .  . .  .  . . ...... #> ACD              . .  1  .  .  .  . .  . .  .  2 2 ...... #> ACE2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACER2            1 1  2  .  1  .  . .  2 .  2  1 . ...... #> ACER3            . .  .  .  .  .  . .  . 1  .  . . ...... #> ACIN1            1 2  2  .  .  .  . .  2 1  2  . . ...... #> ACKR3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACLY             6 1  .  .  3  .  1 1  1 2  2  . 5 ...... #> ACO1             . 1  1  .  .  .  . .  1 .  .  . . ...... #> ACO2             2 2  3  1  1  2  . 1  3 2  1  1 . ...... #> ACOT1            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT12           . .  .  .  .  1  . .  . .  .  . . ...... #> ACOT13           2 .  1  .  .  .  1 .  1 1  2  1 1 ...... #> ACOT2            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT6            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT8            . .  1  .  .  .  . .  . .  .  . 1 ...... #> ACOT9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX1            . .  .  1  .  .  . .  . .  .  . . ...... #> ACOX2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOXL            . .  .  .  .  .  . .  . .  .  . . ...... #> ACP2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP3             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP5             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP6             . .  .  .  1  .  1 .  . .  .  1 . ...... #> ACRBP            . .  .  .  .  .  . .  . .  .  1 . ...... #> ACSBG1           1 .  .  .  .  .  . .  . .  .  . . ...... #> ACSF2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSF3            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL1            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL3            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL4            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL5            . 1  .  .  .  .  . .  . .  1  1 . ...... #> ACSL6            . .  .  .  .  1  . .  . .  .  . . ...... #> ACSM3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSS3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTB             8 8 26 15 18 16 13 7 35 9 20 13 8 ...... #> ACTC1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTG1           10 . 21  3 13  3 17 3 30 8 24 14 4 ...... #> ACTL10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTL6A           . .  1  1  .  .  . .  2 .  .  4 1 ...... #> ACTL6B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTN1            . .  .  1  .  .  . .  3 .  .  . . ...... #> ACTN3            . .  .  .  .  .  . .  . .  .  . 3 ...... #> ACTN4            1 .  3  .  1  .  1 1  2 .  1  . 1 ...... #> ACTR10           1 .  1  .  .  .  . 2  . 1  4  . 1 ...... #> ACTR1A           . 2  1  .  .  .  . .  . .  .  1 . ...... #> ACTR1B           . 1  1  .  2  .  1 .  . 1  1  . . ...... #> ACTR2            . .  .  1  2  .  . 1  . .  .  . 1 ...... #> ACTR3            . 4  .  1  .  1  . .  . .  3  . . ...... #> ACTR3B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR3C           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR5            . .  .  .  .  .  . 1  . 1  .  . . ...... #> ACTR6            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACTR8            1 .  .  .  1  1  . .  1 .  .  . . ...... #> ACTRT3           . .  .  .  .  .  . .  . .  .  . . ...... #> ACVR1B           . .  .  .  .  .  . 1  . .  .  . . ...... #> ACVR1C           . 1  .  .  .  .  . .  . .  .  . . ...... #> ACVR2A           . .  .  .  .  .  . .  . 1  .  . . ...... #> ACVR2B           . .  1  .  .  1  . 1  . .  1  . . ...... #> ACVRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ACY1             . .  .  .  .  .  . .  . .  .  . . ...... #> ACY3             . .  .  .  .  1  . .  . .  .  . . ...... #> ACYP1            2 1  1  .  .  .  . .  . 1  1  . . ...... #> ACYP2            . .  .  .  .  .  . .  . 1  .  . . ...... #> AD000671.1       2 1  1  .  2  .  . 2  . 1  2  1 2 ...... #> ADA              . .  .  .  .  .  . .  . .  .  . . ...... #> ADAL             . .  .  .  .  .  . 1  . .  .  . . ...... #> ADAM10           2 1  .  .  1  .  . .  1 .  .  . . ...... #> ADAM11           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADAM12           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM15           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADAM17           . .  .  .  1  .  . .  . .  .  . . ...... #> ADAM21           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM22           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM23           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM30           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM32           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM9            . .  .  .  .  .  . .  . .  .  1 1 ...... #> ADAMTS1          . .  2  .  .  .  . .  . .  1  . . ...... #> ADAMTS10         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS13         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS15         1 .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS16         . .  2  .  .  .  . .  . .  .  . . ...... #> ADAMTS17         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS18         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS19         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS2          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS5          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS6          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS7          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS8          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS9          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL1         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL2         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL4         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL5         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAR             . .  .  .  .  .  . .  . .  .  . . ...... #> ADARB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT2            . .  .  .  .  .  . .  . .  1  . . ...... #> ADCK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK5            1 .  .  .  .  .  . .  3 1  .  . . ...... #> ADCY1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY3            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY5            . .  .  .  .  .  . 1  . .  .  . . ...... #> ADCY6            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY9            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADCYAP1R1        . .  .  .  .  .  . .  . .  .  . . ...... #> ADD1             . 2  .  1  1  .  . .  . .  .  . 1 ...... #> ADD2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADD3             . .  .  .  .  .  . .  . .  .  . . ...... #> ADGB             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA1           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADGRA2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA3           . .  .  .  .  .  . .  . .  .  1 . ...... #> ADGRB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRB3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRE5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRF5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG1           . .  .  .  1  .  1 .  2 .  1  1 1 ...... #> ADGRG2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG6           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADGRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRV1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1A            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1C            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH5             2 .  4  1  .  .  3 2  2 .  6  2 1 ...... #> ADH7             . .  .  .  .  .  . .  . .  .  . . ...... #> ADI1             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADIPOR1          2 4  .  1  2  1  1 .  3 3  2  . 1 ...... #> ADIPOR2          1 .  .  .  .  .  . .  . .  .  . . ...... #> ADK              1 2  .  .  .  .  1 .  . .  2  . . ...... #> ADM              . .  .  .  .  .  . .  . .  .  . . ...... #> ADM2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADNP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADO              . .  .  .  .  .  . 2  1 .  .  . . ...... #> ADORA1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADORA2A          . 2  .  .  .  1  . .  . 1  .  . . ...... #> ADORA2B          . .  .  .  .  .  . .  . .  .  . . ...... #> ADPGK            . .  .  .  .  .  1 .  1 .  2  . . ...... #> ADPRH            . .  .  1  .  .  . 1  . 1  .  1 . ...... #> ADPRM            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRA2A           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADRA2C           . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB2            . .  .  .  .  .  . 2  . .  .  . . ...... #> ADRM1            1 1  .  1  .  .  . 2  3 .  3  1 1 ...... #> ADSL             . .  .  .  .  .  1 .  . .  1  . . ...... #> ADSS1            . .  .  .  .  .  . .  . .  1  . . ...... #> ADSS2            . .  1  2  .  1  . .  . .  1  . . ...... #> AEBP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AEBP2            . .  .  .  .  .  . .  . .  .  . . ...... #> AEN              . .  .  .  .  .  . .  . .  .  . . ...... #> AF196969.1       . .  .  1  .  .  . .  . .  1  1 . ...... #> AF241726.1       7 3  .  3  1  5  1 4  . 1  .  1 5 ...... #> AFAP1            2 .  .  .  .  .  . 1  . .  .  . . ...... #> AFAP1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> AFAP1L2          . .  .  .  .  .  . .  . .  .  . . ...... #> AFF1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AFF2             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF3             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF4             . .  .  .  1  .  2 .  . 1  1  . . ...... #> AFG3L2           . .  .  .  .  .  . .  . 2  .  . . ...... #> AFM              . .  1  .  .  .  . .  . .  .  . . ...... #> AFP              . .  .  .  .  .  . .  . .  .  . . ...... #> AFTPH            1 .  .  .  .  .  . .  . .  .  . . ...... #> AGA              . 1  1  .  .  .  . 1  1 .  .  . . ...... #> AGAP1            . .  .  .  .  1  . .  . .  .  . 1 ...... #> AGAP3            1 .  .  1  .  .  . 1  . .  .  . . ...... #> AGBL3            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL4            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL5            . .  .  .  1  .  . .  . .  .  . . ...... #> AGER             . .  .  .  .  .  . .  . .  .  . . ...... #> AGFG1            1 .  .  1  1  .  . .  . .  .  . . ...... #> AGFG2            . .  .  .  .  .  2 .  . 1  .  . . ...... #> AGGF1            . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AGK              . .  .  .  1  .  . .  . .  .  . . ...... #> AGL              . .  .  .  .  .  . .  . .  .  . . ...... #> AGMAT            . .  .  .  .  .  . .  . .  .  . . ...... #> AGMO             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO1             . .  .  .  1  .  1 1  . .  .  . . ...... #> AGO2             . .  .  .  1  .  . .  . .  .  . 1 ...... #> AGO3             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO4             . .  .  .  .  .  . .  . .  .  . . ...... #> AGPAT1           . .  .  .  1  1  . .  . .  .  . 1 ...... #> AGPAT2           . .  .  .  .  .  . 2  . .  .  . 1 ...... #> AGPAT3           . .  1  1  .  .  . .  . .  1  . . ...... #> AGPAT4           . 1  .  .  1  1  . 2  1 .  .  1 . ...... #> AGPAT5           . .  .  .  1  .  . .  . .  1  . 1 ...... #> AGPS             . .  .  .  .  .  . .  . .  .  . . ...... #> AGR2             . .  .  .  .  .  . .  . .  .  . . ...... #> AGRN             . 1  .  .  1  .  . .  . .  .  . . ...... #> AGRP             . .  .  .  .  .  . .  . .  .  . . ...... #> AGT              . .  .  .  .  .  . .  . .  .  . 2 ...... #> AGTPBP1          . .  .  .  .  .  . .  . .  .  . . ...... #> AGTR1            . .  .  .  .  .  . .  . .  .  . . ...... #> AGTRAP           . .  .  .  1  .  . .  . 1  .  . 1 ...... #> AGXT             . .  .  .  .  .  . .  . .  .  . . ...... #> AHCTF1           . .  .  .  .  .  . .  . .  .  . . ...... #> AHCY             . .  .  .  .  .  . .  1 .  .  . . ...... #> AHCYL1           1 .  .  1  .  .  2 2  1 1  .  . 2 ...... #> AHCYL2           1 .  1  .  .  .  . .  . .  .  . 1 ...... #> AHDC1            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AHI1             . .  1  .  1  .  1 .  . 3  .  . . ...... #> AHNAK            . .  .  .  .  .  . .  . .  .  . . ...... #> AHNAK2           . .  .  .  .  .  . .  . .  .  . . ...... #> AHR              . .  .  .  .  .  . .  . .  .  . . ...... #> AHSA1            . 2  .  1  .  1  2 2  3 2  1  . 3 ...... #> AHSG             . .  .  .  .  .  . .  . .  .  . . ...... #> AIDA             . .  1  .  .  .  . 1  . .  .  . . ...... #> AIF1             . .  .  .  .  .  . .  . .  .  . . ...... #> AIF1L            . .  .  .  .  .  . .  . .  .  . . ...... #> AIFM1            . .  .  .  .  2  . .  . .  .  . . ...... #> AIFM2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AIFM3            . .  .  .  .  .  . .  . .  .  . . ...... #> AIG1             . .  1  .  .  1  2 1  2 .  .  . . ...... #> AIMP1            . 1  1  .  3  .  . 1  2 .  3  2 . ...... #> AIMP2            1 .  1  .  .  .  . 1  1 .  .  . . ...... #> AIP              . 1  .  .  .  .  1 1  1 .  .  . 2 ...... #> AIPL1            . .  .  .  .  .  . .  . .  .  . . ...... #> AIRE             . .  .  .  .  .  . .  . .  .  . . ...... #> AJAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AJUBA            . .  .  .  .  .  . .  . .  .  . . ...... #> AK1              . .  .  .  .  1  2 .  . .  .  . . ...... #> AK2              . .  .  1  .  .  2 1  1 1  1  1 . ...... #> AK3              . 1  .  .  .  .  . .  . .  .  . . ...... #> AK4              . .  .  .  .  .  . .  . .  .  . . ...... #> AK5              . .  .  .  .  .  . .  . .  .  . . ...... #> AK7              . .  .  .  .  .  . .  . .  .  . . ...... #> AK8              . .  .  1  .  .  . .  . .  .  . . ...... #> AKAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP10           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP11           . .  .  1  .  .  . 1  . .  .  . . ...... #> AKAP12           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP13           . .  .  1  .  1  . .  1 .  .  1 . ...... #> AKAP5            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP7            . 1  .  .  .  .  . .  . 1  .  . . ...... #> AKAP8            . .  .  .  .  .  . 1  . 1  .  . . ...... #> AKAP8L           2 .  .  .  2  1  3 1  . .  .  1 . ...... #> AKAP9            1 .  1  .  3  3  1 3  2 1  .  . . ...... #> AKIP1            . .  1  .  .  .  . 1  . .  1  . . ...... #> AKIRIN1          1 1  .  1  1  .  1 .  1 1  1  . 1 ...... #> AKIRIN2          1 1  2  1  1  1  4 2  1 3  .  2 3 ...... #> AKNA             . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1A1           3 1  4  4  6  2  4 3  5 4  9  5 1 ...... #> AKR1B1           . .  .  .  .  .  . .  . .  .  1 . ...... #> AKR1B10          . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1E2           . 1  .  1  .  .  . 1  . 1  .  . 1 ...... #> AKR7L            . .  1  .  .  1  1 1  1 2  2  2 . ...... #> AKT1             . .  .  1  .  1  . 1  1 1  .  . . ...... #> AKT1S1           1 .  1  2  2  .  . 3  . 1  2  . . ...... #> AKT2             . 1  .  .  .  .  . .  . .  .  . . ...... #> AKT3             . .  .  .  1  .  . .  . .  .  . . ...... #> AKTIP            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AL033529.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL035461.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049629.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049634.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049697.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049779.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049844.3       1 1  .  .  1  .  . .  . 1  .  . . ...... #> AL096711.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL110118.1       . .  1  .  .  .  . .  . .  1  . . ...... #> AL117348.2       . 3  .  1  .  .  4 1  . 1  1  . 3 ...... #> AL132671.2       . 2  .  .  .  .  . .  2 .  .  . . ...... #> AL132780.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL133352.1       4 1  2  3  1  1  3 4  6 3  6  . 9 ...... #> AL133500.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.3       . 1  1  1  .  .  . .  . .  .  . 2 ...... #> AL136295.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.5       . 1  .  .  .  .  . 1  . .  .  . . ...... #> AL138752.2       . .  .  .  .  .  . 1  . 1  .  . . ...... #> AL139142.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL139260.3       . .  2  .  .  .  . 1  . .  .  1 2 ...... #> AL157392.5       . .  .  .  .  1  1 .  1 .  1  . . ...... #> AL157935.2       . 1  .  .  .  .  . .  . .  .  . . ...... #> AL159163.1       1 2  1  .  .  3  . .  5 .  2  . . ...... #> AL160269.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL162231.3       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL162417.1       . .  .  .  .  .  1 .  . .  .  . 1 ...... #> AL162596.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL353671.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355312.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355315.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355916.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL357075.4       1 .  .  1  .  .  . .  . .  .  1 . ...... #> AL357673.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358113.1       . .  .  .  1  .  . .  . .  1  . . ...... #> AL358472.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358472.7       2 .  .  1  3  .  . 3  1 4  1  1 1 ...... #> AL359736.1       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AL360181.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL365205.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL391628.1       2 .  .  .  .  .  . .  . .  .  . 1 ...... #> AL445524.2       1 .  .  .  .  .  1 .  . 1  .  . . ...... #> AL445685.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL451062.2       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL451136.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512506.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512785.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL590132.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL592183.1       1 1  1  2  1  .  . .  . 2  2  . 2 ...... #> AL603832.3       1 .  2  .  .  .  . 1  . .  1  1 . ...... #> AL645941.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL662899.1       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL662899.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL669918.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL807752.7       . .  .  .  .  .  . .  . .  .  . . ...... #> AL845331.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL928654.3       . .  .  .  .  1  . .  . .  .  1 . ...... #> ALAD             1 .  1  .  .  1  . .  . .  .  . . ...... #> ALAS1            . .  .  1  .  .  1 1  . .  1  . . ...... #> ALB              . .  .  .  .  .  . .  . .  .  . . ...... #> ALCAM            . .  .  .  .  1  1 .  . .  1  . . ...... #> ALDH16A1         . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDH18A1         . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A1          . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1A3          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1B1          . .  1  .  .  .  . .  5 .  .  . 1 ...... #> ALDH1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH2            . .  .  .  .  .  . .  1 1  1  . . ...... #> ALDH3B1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH3B2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH4A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH5A1          1 .  .  .  .  .  . .  . .  2  . 1 ...... #> ALDH6A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH7A1          . 1  .  .  .  .  . .  1 1  1  . 1 ...... #> ALDH9A1          . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDOA            3 4  1  4  3  1  3 5  4 6  5  1 6 ...... #> ALDOB            . .  .  .  .  .  . .  . .  .  . . ...... #> ALDOC            . .  3  .  .  .  1 .  . .  .  . 1 ...... #> ALG1             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG10            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG10B           . .  .  .  .  .  . .  . .  .  . . ...... #> ALG11            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG12            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG13            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG14            1 .  1  .  .  .  . .  . .  .  . . ...... #> ALG1L            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG1L2           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG3             . .  1  .  .  .  . 1  1 .  .  . 1 ...... #> ALG5             . .  .  .  1  .  . 1  1 .  .  1 . ...... #> ALG6             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG8             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALG9             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH1           1 .  .  .  .  .  . .  . .  1  . . ...... #> ALKBH2           . .  .  .  .  .  . .  . .  1  . 1 ...... #> ALKBH3           . .  .  .  .  .  . 1  . .  .  . . ...... #> ALKBH4           . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH5           1 2  .  .  2  .  . 1  2 .  1  . . ...... #> ALKBH6           . 2  1  1  .  .  1 1  . 1  .  . 1 ...... #> ALKBH7           . .  1  .  .  1  2 .  . 1  .  . . ...... #> ALKBH8           . .  .  .  1  .  . .  . .  .  . . ...... #> ALLC             . .  .  .  .  .  . .  . .  .  . . ...... #> ALMS1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX12           . .  .  .  .  .  . .  . .  1  . . ...... #> ALOX15B          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5AP          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOXE3           . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK3            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPL             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2CL           . .  .  .  .  .  . .  . .  .  . . ...... #> ALX3             . .  .  .  .  .  . .  . .  .  . . ...... #> ALYREF           . 2  .  .  .  1  2 2  . .  2  . . ...... #> AMACR            . .  .  .  .  .  . .  . .  .  . . ...... #> AMBP             2 .  5  1  .  .  . 4 10 .  7  . . ...... #> AMBRA1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMD1             1 .  .  .  .  .  . .  . .  1  . . ...... #> AMDHD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMDHD2           . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AMER1            . .  .  .  .  .  1 .  2 2  .  . . ...... #> AMER2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMER3            . .  .  .  .  .  . .  . .  .  . . ...... #> AMFR             2 1  .  .  .  .  . .  . 1  .  1 . ...... #> AMH              . .  .  .  .  .  . .  . .  .  . . ...... #> AMHR2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO2           . 2  .  .  .  .  1 .  . 1  .  . . ...... #> AMIGO3           . .  .  .  .  .  . .  . .  .  . . ...... #> AMMECR1          . .  .  .  .  .  . .  . .  1  . 1 ...... #> AMMECR1L         . .  .  1  1  1  . .  . 1  2  1 . ...... #> AMN              . .  .  .  .  .  . .  . .  .  . . ...... #> AMN1             . 1  .  1  .  .  . .  1 2  .  . . ...... #> AMOT             . .  .  .  .  .  . .  . .  .  . . ...... #> AMOTL1           . .  .  .  .  .  . .  1 .  .  . . ...... #> AMOTL2           . .  1  .  1  .  . .  1 .  1  . . ...... #> AMPD2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMPH             . .  .  .  .  .  . .  . .  .  . . ...... #> AMT              . 1  .  .  .  .  . .  . .  .  . . ...... #> AMZ1             . .  .  .  .  .  . .  . .  .  . . ...... #> AMZ2             . .  1  .  .  .  . .  . 1  .  . . ...... #> ANAPC1           . .  .  .  .  .  . .  . 1  1  . . ...... #> ANAPC10          . .  2  .  .  .  . .  . .  2  1 1 ...... #> ANAPC13          1 .  4  1  .  .  . .  1 2  3  . 1 ...... #> ANAPC15          . .  .  .  .  .  . .  . .  1  . . ...... #> ANAPC16          1 3  1  2  2  .  1 .  1 2  .  1 3 ...... #> ANAPC2           . .  .  .  .  .  1 .  . .  1  . 1 ...... #> ANAPC4           . 2  .  1  .  .  1 1  . .  .  . . ...... #> ANAPC5           1 4  3  1  .  1  . .  2 1  7  2 3 ...... #> ANAPC7           . .  1  1  .  .  . .  . .  .  . . ...... #> ANGEL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGEL2           . .  1  .  1  2  . .  1 .  1  . . ...... #> ANGPT1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPT2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL1          . .  .  .  .  .  . .  . .  1  . . ...... #> ANGPTL2          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL3          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL4          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL6          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL7          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL8          . .  .  .  .  .  . .  . .  .  . . ...... #> ANK1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANK2             . .  .  1  .  .  . .  . .  .  . . ...... #> ANK3             . .  1  .  .  .  . .  . .  .  . . ...... #> ANKEF1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKFY1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKH             2 1  .  .  .  2  1 1  . 2  1  1 1 ...... #> ANKHD1           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKHD1-EIF4EBP3  . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKIB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKMY2           1 .  .  .  .  .  1 .  . 1  2  . . ...... #> ANKRA2           . .  .  .  .  .  1 .  . .  .  1 . ...... #> ANKRD1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD10          . 1  .  1  .  .  . .  . .  .  1 . ...... #> ANKRD11          . 2  .  .  .  .  . .  2 .  .  1 1 ...... #> ANKRD12          . 1  .  1  .  .  . 2  1 .  .  . 1 ...... #> ANKRD13A         1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13C         . 1  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13D         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD16          . .  .  .  .  .  . 1  . .  .  1 . ...... #> ANKRD17          . .  .  .  2  1  1 .  . .  .  1 . ...... #> ANKRD2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD24          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD27          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD28          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD29          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD31          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD33B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34C         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD35          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD37          1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD39          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD40          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD44          1 2  .  .  1  1  . .  . .  .  1 . ...... #> ANKRD45          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD46          . .  .  .  .  .  . .  1 .  1  . . ...... #> ANKRD49          . .  .  .  1  .  . .  . .  .  . . ...... #> ANKRD50          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD54          2 1  .  .  1  .  . .  . 1  .  2 2 ...... #> ANKRD55          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD6           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD9           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKS1A           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS1B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS3            . 1  .  1  .  .  . .  . .  .  . . ...... #> ANKS4B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS6            . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKZF1           . .  .  .  .  .  . .  . .  .  1 . ...... #> ANLN             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO10            . .  .  1  .  .  . .  . .  .  . . ...... #> ANO2             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO6             . .  1  .  .  .  . .  . .  .  . . ...... #> ANO7             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO8             . .  .  .  .  .  . .  . .  .  1 . ...... #> ANO9             . .  .  .  .  .  . .  . .  .  . . ...... #> ANP32A           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32B           2 1  4  2  .  1  2 6  2 1  2  1 1 ...... #> ANP32D           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32E           . 1  1  .  .  .  . 1  2 .  3  . 1 ...... #> ANPEP            . 1  1  .  .  .  . .  . .  2  . . ...... #> ANTXR1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANTXR2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA10           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA11           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA13           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA2            . .  3  .  .  .  . .  1 .  3  . . ...... #> ANXA3            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA4            5 4  2  .  1  1  5 1  1 6  1  2 6 ...... #> ANXA5            1 2  1  2  .  1  . .  . 2  .  . . ...... #> ANXA6            1 .  2  3  1  2  . .  1 .  3  . . ...... #> ANXA7            . 2  1  1  1  .  1 .  1 .  .  . 1 ...... #> ANXA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA8L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA9            . .  .  .  .  .  . .  . .  .  . . ...... #> AOC1             . .  .  .  .  .  . .  . .  .  . . ...... #> AOC2             . .  .  .  .  .  . .  . .  .  . . ...... #> AP000295.1       . .  3  .  .  .  1 .  . 1  2  . . ...... #> AP000311.1       2 3  7  5  4  .  5 3  3 3  4  1 4 ...... #> AP000356.5       1 .  .  .  1  .  . 3  2 1  6  . 2 ...... #> AP000944.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AP001267.5       1 .  .  .  2  .  . 2  . .  .  2 . ...... #> AP001273.2       1 .  .  .  .  .  1 .  . 1  1  . . ...... #> AP001453.3       9 1  1  1  .  1  2 1  . .  4  . 6 ...... #> AP001781.2       . .  .  .  .  .  1 .  . .  .  . . ...... #> AP001931.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002373.1       1 1  .  .  .  2  . 2  1 1  2  1 . ...... #> AP002495.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002748.5       . .  .  .  .  .  . .  . 1  .  . . ...... #> AP002884.2       3 4  2  .  .  1  1 3  1 1  5  5 2 ...... #> AP002990.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP003419.1       . 1  .  2  .  .  1 2  . 1  .  1 . ...... #> AP1AR            1 .  .  .  .  .  . .  . .  .  . . ...... #> AP1B1            . .  1  1  .  .  . .  . .  .  . . ...... #> AP1G1            1 .  .  .  .  .  . .  1 1  .  . 1 ...... #> AP1G2            . .  .  .  .  .  . .  . .  .  . . ...... #> AP1M1            . .  .  .  1  1  . .  . 1  .  4 . ...... #> AP1M2            . 1  1  2  .  .  1 1  1 1  1  1 . ...... #> AP1S1            3 1  2  .  1  .  . 2  . 1  3  . 1 ...... #> AP1S2            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AP1S3            . .  .  .  .  .  . 1  . .  .  . . ...... #> AP2A1            1 .  1  2  .  1  2 .  . .  .  . . ...... #> AP2A2            . .  1  .  .  .  . .  1 .  .  . . ...... #> AP2B1            . .  .  1  .  .  . .  1 .  .  . . ...... #> AP2M1            . .  4  2  4  2  4 2  . 4  3  4 2 ...... #> AP2S1            3 1  3  2  3  1  1 3  1 3  4  1 3 ...... #> AP3B1            . .  .  .  1  .  . 1  2 .  .  . . ...... #> AP3B2            1 .  .  .  .  .  1 .  . .  .  . . ...... #> AP3D1            . .  .  .  .  .  1 .  . 2  .  . . ...... #> AP3M1            1 .  1  .  .  .  1 .  . .  1  . . ...... #> AP3M2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AP3S1            3 2  .  2  .  .  1 1  . .  .  1 2 ...... #> AP3S2            . .  .  2  1  1  . .  1 .  .  1 1 ...... #> AP4E1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4S1            . .  1  .  .  .  . 2  . .  .  . . ...... #> AP5B1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5S1            . .  .  .  .  .  1 .  . 1  .  . . ...... #> AP5Z1            . .  .  .  1  .  . .  . .  .  . . ...... #> APAF1            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA1            . .  .  .  .  .  1 .  . .  .  . . ...... #> APBA2            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA3            . .  .  .  .  .  . .  1 1  .  . . ...... #> APBB1            1 .  .  .  1  .  1 .  . 1  .  . 2 ...... #> APBB1IP          . .  .  .  .  .  . .  . .  .  . . ...... #> APBB2            . .  .  1  3  .  . 1  . .  .  . . ...... #> APC              . .  .  .  .  .  . .  . .  .  . . ...... #> APC2             . .  .  .  .  .  . .  . .  .  . . ...... #> APCS             . .  .  .  .  .  . .  . .  .  . . ...... #> APEH             . .  .  .  .  .  1 .  . .  .  1 . ...... #> APEX1            . .  3  .  .  .  . 1  1 1  2  1 . ...... #> APEX2            . .  .  .  .  .  . .  . .  .  . . ...... #> APH1A            . .  1  1  .  .  . .  . .  .  . . ...... #> APH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> API5             . .  .  .  1  .  . .  . .  .  . . ...... #> APIP             . 1  1  .  .  .  1 .  . .  2  . 1 ...... #> APLF             . .  .  .  .  .  . .  . .  .  . . ...... #> APLP1            5 3  . 11  5  7 10 5  . 3  . 12 8 ...... #> APLP2            . .  1  .  .  1  . .  2 2  .  1 . ...... #> APMAP            . .  .  .  1  .  . .  . .  .  . . ...... #> APOA1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOA2            1 .  .  .  .  .  . .  . .  .  . 1 ...... #> APOBEC1          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC2          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC3H         . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC4          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBR            . .  .  .  .  .  . .  . .  .  . . ...... #> APOC1            . .  .  .  .  .  . .  2 .  2  . . ...... #> APOC3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOD             . .  .  .  .  .  . .  . .  .  . . ...... #> APOE             . .  .  .  .  .  . .  . .  .  . . ...... #> APOF             . .  .  .  .  .  . .  . .  .  . . ...... #> APOH             . .  .  .  .  .  . .  . .  .  . . ...... #> APOL1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL2            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL4            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL6            . .  .  .  .  .  . .  . .  .  . . ...... #> APOLD1           . .  .  .  .  .  . .  . .  .  . . ...... #> APOM             . .  .  .  .  .  . .  . .  .  . . ...... #> APOO             . .  .  1  .  .  . 2  . 1  .  1 1 ...... #> APOOL            . 2  1  2  .  .  . .  1 .  1  . . ...... #> APP              1 4  .  1  .  .  2 2  2 4  2  1 3 ...... #> APPBP2           . 2  .  1  .  .  2 .  . .  2  . 1 ...... #> APPL1            . .  .  .  1  .  . .  . .  .  . . ...... #> APPL2            . 1  .  .  .  .  1 .  . .  1  . . ...... #> APRT             1 3  3  .  2  1  . 2  2 3  2  . 2 ...... #> APTX             . .  .  .  .  .  1 2  . .  .  . . ...... #> AQP1             . .  .  .  .  .  . .  . .  1  . . ...... #> AQP11            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AQP12A           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP12B           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP3             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP4             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP7             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP8             . .  .  .  .  .  . .  . .  .  . . ...... #> AQR              . .  1  .  .  .  . .  . .  .  . . ...... #> ARAF             . .  .  .  .  .  . .  . .  .  . . ...... #> ARAP1            . .  1  .  .  .  . .  . .  .  . . ...... #> ARAP2            . .  .  .  .  .  . 1  . .  .  . . ...... #> ARAP3            . .  .  .  .  .  . .  . .  .  . . ...... #> ARC              . 1  .  .  .  .  . .  . .  .  . . ...... #> ARCN1            1 .  .  .  .  .  1 1  . .  .  . 1 ...... #> AREG             . .  .  .  .  .  . .  . 1  .  . . ...... #> AREL1            . 1  .  .  .  .  . .  . .  .  . . ...... #> ARF1             3 3  3  9  4  2  1 7  5 4  5  1 2 ...... #> ARF3             . .  2  .  .  .  1 .  1 .  1  . 1 ...... #> ARF4             . .  .  .  .  .  . .  . .  .  . . ...... #> ARF5             6 7  2  8  6  4 13 4  7 8  9 11 5 ...... #> ARF6             . .  5  .  .  .  . 1  1 .  .  . . ...... #> ARFGAP1          . .  .  .  1  .  . .  . .  1  . . ...... #> ARFGAP2          . .  1  .  1  .  1 .  . .  2  . . ...... #> ARFGAP3          . 1  .  .  .  .  . .  . .  .  . . ...... #> ARFGEF1          1 .  .  .  .  .  . .  . .  .  1 1 ...... #> ARFGEF2          . 1  .  .  .  .  . .  . 1  .  . . ...... #> ARFGEF3          . .  .  .  .  .  . .  . .  .  . . ...... #> ARFIP1           . .  1  .  .  .  . .  . .  .  . 1 ...... #> ARFIP2           . 2  .  1  .  .  . .  . .  1  . . ...... #> ARFRP1           . 1  1  .  .  .  . .  . 1  1  . . ...... #> ARG1             . .  .  .  .  .  . .  . .  1  . . ...... #> ARG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ARGLU1           . 1  1  1  .  .  2 1  . 2  .  1 . ...... #> ARHGAP1          1 1  .  .  .  1  . .  . .  .  . . ...... #> ARHGAP10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11A        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11B        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP12         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP17         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP18         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19-SLIT1   . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP20         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP21         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP22         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP23         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP24         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP26         . .  1  .  .  .  . .  . .  .  . . ...... #> ARHGAP27         . .  .  .  .  .  . .  . .  1  . . ...... #> ARHGAP28         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP29         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP31         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP32         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP33         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP35         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP36         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP39         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP4          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP42         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP44         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP5          . .  3  1  .  .  1 .  . 1  .  . . ...... #> ARHGAP6          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP8          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP9          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIA          2 5  1  .  1  .  1 3  1 2  4  1 4 ...... #> ARHGDIB          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIG          1 .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF1          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10L        . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGEF11         1 1  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF12         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF15         . .  .  .  .  .  1 .  . .  .  . . ...... #> ARHGEF16         . .  .  1  1  .  . .  . .  2  . . ...... #> ARHGEF17         . .  .  .  .  .  1 .  . .  .  . . ...... #>  #>  .............................. #>  ........suppressing 948 columns and 11697 rows in show(); maybe adjust 'options(max.print= *, width = *)' #>  .............................. #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                      #> UBR3          1 .  . .  . . .  1 1  1 .  .  .  1  .  .  . . . . . 1 1 . . . . 1  .  . .  .  . . . . . .  1 2 . 1 .  . . 1  .  1 .  . #> UBR4          . .  . .  1 . .  . 1  . .  .  .  1  .  .  . . . . . 1 1 1 . . . .  .  . .  .  . . . . . 1  2 . 1 . .  . . .  .  . .  . #> UBR5          1 .  . 1  1 1 .  1 .  . 2  .  .  1  .  .  . 1 . 1 1 . . . . . . 1  .  . .  .  . . . . . 3  1 . . 2 .  . . .  .  . .  . #> UBR7          . .  1 .  . . 1  1 .  1 1  .  1  .  .  1  . . . . . . . . . 1 . 1  .  . .  1  . . . . . .  . . . 1 .  . . .  .  . .  1 #> UBTD1         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . 1 .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTD2         1 .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTF          . .  1 .  1 . 1  . .  . 1  1  .  .  .  .  . . 1 1 . . 1 . . . . .  .  . 1  2  . 1 . . . 1  . 4 3 . .  . . 2  .  . .  . #> UBXN1         . 3  2 2  3 . 1  3 .  . 2  3  1  .  1  4  2 1 1 2 1 1 1 1 3 1 1 2  2  1 2  1  5 3 3 2 1 3  3 . 3 2 1  2 1 3  5  1 1  5 #> UBXN10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN11        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  1 . . . .  . . .  .  . .  . #> UBXN2A        . 1  . .  . . .  . .  . 1  .  .  1  2  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  1 . 1  .  . .  . #> UBXN2B        . .  1 .  . . 1  . .  . .  1  .  1  .  2  1 . . . . . . . . 1 . .  1  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UBXN4         2 3  3 3  3 . .  3 1  1 4  2  2  5  2  3  6 . . 3 4 5 . 4 1 1 . 2  3  2 1  .  1 . 2 5 1 .  2 1 . 3 2  . 2 1  5  1 .  2 #> UBXN6         . 2  . 1  1 . 2  . 1  . .  3  .  1  .  .  1 . . . 2 . 1 2 1 . . .  2  2 .  1  2 . 4 . . 2  . 2 . 1 .  1 1 .  .  . 1  1 #> UBXN7         1 .  . 1  . . .  1 .  . .  .  .  .  .  .  1 . . 1 . . . . . . . .  1  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN8         . .  . .  1 1 .  1 .  . .  .  .  .  .  .  . 2 . . . . . . . . . .  .  1 .  .  . . 1 1 . .  . . 1 . .  . . .  .  . 1  1 #> UCHL1         . .  . 1  . . 1  . .  1 .  .  .  3  .  .  . 1 . 2 1 . 1 3 . . . .  .  . .  .  2 . . . . .  1 1 . . .  1 . .  .  . .  . #> UCHL3         . .  3 .  3 . 2  1 .  . .  .  1  .  .  .  . . . 1 2 . . . 1 1 . .  .  2 .  2  . . . 2 . .  . . 1 . .  1 1 .  2  1 1  . #> UCHL5         2 .  . .  1 . .  . .  . .  .  .  .  .  1  . . 1 2 1 1 2 . . . . .  .  1 .  .  1 . . . . .  1 . . 1 1  . . .  .  . .  . #> UCK1          . .  . .  1 . .  . .  . .  1  .  .  1  .  2 . . . . . 1 . . . 1 1  1  . .  .  . . . . . .  1 . . . .  . . 1  .  1 .  . #> UCK2          . 2  2 .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  1 .  .  . . . . 1 1  . . . . .  . . .  .  . .  . #> UCKL1         1 .  1 .  . . .  . .  . .  1  .  .  .  1  1 . 1 . . . . . . . . 2  .  1 .  .  . 1 . 2 . .  . . . . .  . . .  2  . .  . #> UCN3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . .  .  . . . . . .  1 1 . . .  . . .  .  . .  . #> UCP2          1 1  . 2  . 1 1  3 1  2 1  2  .  1  .  1  . 1 . . 1 . 1 . . 1 4 3  1  . .  1  . 3 2 1 . .  3 1 . 3 2  . . 1  1  2 1  1 #> UEVLD         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> UFC1          4 .  . 2  3 4 1  3 .  . .  1  1  .  2  4  3 . 2 . 3 2 2 5 . 1 . .  2  6 1  2  . 1 . 2 . 1  4 4 1 2 .  . 2 2  .  1 .  3 #> UFL1          . .  . .  . . .  . 2  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . 1  .  . . . . . 1  . 1 . 1 .  . 1 .  .  . 1  . #> UFM1          2 1  1 1  . 1 .  3 .  2 1  2  1  .  .  1  2 . . 1 . 4 2 3 . 1 . 1  2  2 2  .  1 . . 3 . 1  2 2 . . .  1 . .  1  . 1  . #> UFSP1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  1  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UFSP2         . .  . .  1 . .  . .  . 1  .  .  2  .  .  1 . 1 . 1 . 1 . 1 . . .  .  1 .  .  . . 1 . . .  1 1 . . .  . . .  1  . 1  . #> UGCG          . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGDH          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . 1 . 1 . . . . . . 1  .  1 1  .  . . . . . 1  . . . . .  . . 1  .  . .  . #> UGGT1         . .  . .  1 1 .  . .  . .  .  1  .  .  2  . . . . . 3 . . . . . 1  .  . .  .  . . . . . .  1 2 . . .  . . .  .  . .  . #> UGGT2         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  1 . . . . .  . . 1 . .  . . .  .  . .  . #> UGP2          2 .  1 .  2 1 .  1 2  . 1  .  .  2  .  2  . . . 1 . . 1 . 1 1 . 1  2  . .  1  . . 2 . . .  1 1 . . .  . . 1  .  . .  . #> UGT1A6        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGT8          . .  1 .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UHMK1         . .  . 1  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UHRF1         1 .  . .  . . .  . .  . .  1  .  .  .  3  . . 1 . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  1 #> UHRF1BP1      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> UHRF1BP1L     . .  . .  . 1 .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  1 . . . .  1 . .  .  . .  . #> UHRF2         1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . 1 . .  . . .  .  1 .  . #> UIMC1         . .  . .  . . .  2 .  . 1  .  .  .  .  .  . . . 1 . . . . . . . 1  1  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ULK1          . .  . 1  . 1 .  . .  . .  .  .  1  .  .  . . . . . 1 . . 1 . 1 .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  1 #> ULK2          . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  1  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ULK3          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ULK4          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> UMODL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UMPS          1 .  1 .  . . .  . 3  . 1  .  .  .  .  2  1 . 2 1 . 2 . . . . . 1  2  . 3  .  1 3 1 1 1 1  . 1 . . .  . . .  .  . 1  . #> UNC119        . .  3 .  . . .  1 1  . .  .  .  .  1  2  . . . . . 1 . . . . 1 1  .  1 1  .  . . . . . .  1 . . 2 .  . . .  .  . 1  . #> UNC119B       . .  . .  . . 1  . 1  . .  1  .  .  .  .  . . . . . . . . 1 2 . .  .  . .  .  . . . . . .  . . . . .  . . .  1  1 .  . #> UNC13A        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13B        . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  1 . . . . .  . . . . .  1 . .  .  . .  . #> UNC13C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13D        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC45A        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> UNC50         1 1  1 2  . 2 .  1 .  2 1  .  .  1  2  .  2 . . . 2 . 1 1 . 1 . .  2  2 1  3  . . 1 3 . .  1 2 . . .  . 2 1  .  . 3  1 #> UNC5A         . .  . .  . . .  . 1  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5B         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5C         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> UNC5D         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC79         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC80         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> UNC93B1       . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . 1  .  . .  1 #> UNG           . .  1 .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNK           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> UNKL          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> UPB1          . .  . .  . . .  . 1  1 .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  1 .  .  . . . . . .  1 . . . .  . 1 .  1  . 1  . #> UPF1          . .  1 .  . . .  . .  . .  .  .  .  .  1  . 1 1 . . . . 1 . . . .  1  . .  1  1 . . 2 . .  . . . . .  . . .  .  1 .  1 #> UPF2          . 1  . 1  1 . .  . .  2 .  .  .  .  .  1  . . . 1 . . 2 . . . . 1  .  1 .  .  . . . 1 . 1  . . 1 . .  . . 1  .  . .  . #> UPF3A         . 2  . .  1 . 1  1 .  . .  .  1  .  1  2  1 1 1 . . . . 1 . . . .  .  . .  1  . . . 1 1 .  . . . 1 .  . 1 .  .  . 1  3 #> UPF3B         . .  1 1  1 . .  1 1  . .  .  .  2  .  2  . . . . . . . . . . 2 .  1  . 3  .  2 . . 1 . .  1 1 . . .  1 . 2  1  . .  . #> UPK1A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK1B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3A         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3BL1       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPK3BL2       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPP1          . 2  . .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 2 . . 2 . .  2  2 .  .  . . 2 . 4 .  . . . . .  . 1 .  .  . 1  . #> UPP2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPRT          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UQCC1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 1  . . .  .  . .  . #> UQCC2         1 1  2 .  . 1 1  6 2  1 1  .  3  4  1  2  4 2 . 2 2 1 5 3 1 2 1 1  7  6 .  .  1 1 3 2 1 1  5 3 1 . 4  . 2 2  5  . .  6 #> UQCC3         1 .  1 2  . 1 3  . 2  . .  1  1  1  1  1  1 . 2 . 2 . . 3 . . 3 2  3  1 1  1  3 . 1 1 1 .  1 1 1 2 1  1 . 1  1  1 .  . #> UQCR10        9 3  4 1  3 1 4  9 1  3 1  1  3  4  4  6  4 5 1 3 3 7 1 3 2 3 1 2  6  5 4  2  1 2 4 1 3 1  7 2 5 3 1  2 4 5  2  2 5  6 #> UQCR11        1 1  5 5  4 4 1  6 1  . 2  .  1 12  2  3  7 2 3 4 1 5 1 7 1 2 2 3  6  3 3  2  3 2 5 4 . 1  6 4 2 4 1  1 . 1  3  6 2  4 #> UQCRB        12 3 12 2  6 5 3 11 5  2 3  1  6 11  1  7  9 3 4 7 2 5 5 9 2 3 4 3  6  8 4  5  3 3 7 9 2 6 11 9 6 6 4  2 . 3  2  2 4 11 #> UQCRC1        6 1  9 1  3 3 3  6 3  1 1  5  2  2  4  4  6 . 2 . 2 4 2 3 2 . 2 4  5  5 1  .  2 . . 1 3 .  2 2 1 1 3  1 . 2  3  5 2  4 #> UQCRC2        1 2  7 1  2 1 1  5 .  1 1  4  3  1  4  3  2 1 1 2 2 1 1 1 3 2 5 .  2  3 3  4  2 2 1 5 4 2  5 1 2 2 1  1 1 1  1  . 5  4 #> UQCRFS1       7 1  6 1  6 3 2  2 1  3 1  3  2  .  3  3  4 2 2 3 3 4 3 1 5 1 3 6  5  2 3  6  . 1 4 1 2 3  3 4 3 4 1  4 . 4  2  4 2  3 #> UQCRH         5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRHL        5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRQ         2 .  2 1  2 . 1  4 2  . 1  .  .  3  1  3  3 . 1 2 4 5 2 6 . . 1 .  2  1 2  1  4 2 . 2 2 5  1 3 3 1 2  1 2 .  3  . 1  2 #> URB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URB2          . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URGCP         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URI1          1 .  . .  1 1 .  . 2  . .  .  .  .  3  1  . . . 2 1 . . . 2 . . .  .  . .  .  . . . . . 1  . . 1 . 1  . . .  .  1 .  1 #> URM1          2 .  1 .  . 1 1  2 .  . .  .  .  1  .  1  . 1 1 . . 2 . . . 1 . .  .  1 .  .  2 . . . . .  1 3 . 1 .  . . 1  .  1 .  . #> UROD          . 1  . .  3 . 2  1 1  . .  .  .  1  .  .  . . 1 . . . . 1 1 1 1 .  2  1 1  .  1 . . . . .  . 1 . . .  . . 1  2  1 2  . #> UROS          . .  1 .  . . 1  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 . .  2 1 . . .  . . 1  .  1 .  1 #> USB1          . .  1 1  2 . .  . .  1 .  .  .  1  .  .  . 2 . . . . . 1 . 1 . .  .  . 1  .  . . 1 . 1 1  . 1 . 1 1  . . .  .  . .  . #> USE1          2 3  1 3  4 . 2  2 .  2 4  3  1  1  1  4  1 1 1 1 . 2 2 7 . 2 . 2  2  2 2  1  2 1 7 1 2 1  2 4 2 4 1  1 3 1  3  1 2  1 #> USF1          . .  1 .  . . .  1 .  1 .  .  .  .  2  1  . 3 . 1 . . . . 1 1 1 1  .  . .  1  . . . . 1 .  . . . . .  . . .  .  . .  1 #> USF2          . 3  3 .  . . .  1 .  2 .  2  .  1  .  1  4 1 1 . 1 1 1 . . . . .  1  1 1  1  4 1 . 2 . 1  3 2 . 1 .  1 2 1  .  . .  2 #> USF3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . 1  . #> USH1C         . .  . .  . . .  3 .  . .  1  .  .  .  .  1 . . . . . . 1 . . . 2  .  . .  .  . 1 1 2 . .  5 . 2 . .  2 3 1  .  . 1  . #> USH1G         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USH2A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USHBP1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USO1          . .  . .  1 . .  1 .  2 .  .  .  .  .  .  . . . . 1 . . . . . 2 .  2  1 1  .  . . . . . .  2 2 1 1 .  . . .  .  . .  1 #> USP1          . 1  1 .  . . .  1 .  1 .  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . .  .  . . . . . 2  . . 1 . .  1 . .  .  . .  . #> USP10         1 .  3 .  . . .  . .  . .  1  .  .  2  1  . . 1 . . . . . . . . .  .  1 3  1  . . . . . .  . . . . .  . . .  .  . .  1 #> USP11         1 .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . 1 . . . . . . .  .  2 .  .  . . 1 . . .  . . . 1 .  . . .  .  1 .  . #> USP12         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP13         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP14         . .  3 2  1 . 1  2 .  . 1  .  1  .  1  .  . . 1 . . . . 1 . . . 1  .  2 .  .  . 1 . . . .  1 . . . .  . . 1  2  . .  . #> USP15         . .  . .  . . .  . 1  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> USP16         . .  . .  . . .  1 .  . .  1  .  .  .  1  . . 1 1 . . 1 . 1 . . .  2  . .  .  . . . . . .  3 . . 1 .  . . .  .  . .  . #> USP18         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP19         3 .  . .  . . 2  2 .  1 .  .  1  .  .  .  . . 2 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> USP2          . .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP20         . .  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> USP21         . .  . .  . . .  . .  . .  .  1  .  .  1  1 . . . . . . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> USP22         . .  1 .  . . .  . 1  . .  .  .  1  .  .  2 . . . . . . 1 2 . . .  2  . .  .  . . . . . 1  . . . . .  2 . .  .  1 .  . #> USP24         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> USP27X        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 2 . . . .  . . . . .  . . .  .  . .  . #> USP28         . .  2 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> USP29         . 1  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> USP3          . .  1 .  . . .  . 1  . 1  .  .  .  .  1  . 2 . 1 . 1 . . . . . .  1  1 .  1  . . . . . 1  1 . . . .  . . .  1  1 .  1 #> USP30         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  1  1 .  . #> USP31         . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP32         . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP33         . .  . .  . . .  1 1  . 1  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  2 . 1 . . .  2 . . . 1  . 1 .  .  . .  . #> USP34         1 .  3 1  . . 2  . 1  . 1  .  2  .  1  .  . . . . 1 . 2 . 1 . 1 2  .  . .  .  3 . . 1 . 2  4 3 . 1 2  1 . 1  .  1 .  . #> USP35         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP36         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  2  . .  . #> USP37         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . 1  . #> USP38         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> USP39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . 1 .  .  . .  . #> USP4          1 .  . .  1 . 1  . .  . .  .  2  .  .  .  . . . 1 . . . 2 . . 1 1  .  1 .  .  . . . . . .  . . . . 1  . . .  1  . .  1 #> USP40         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  2 .  . #> USP41         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP42         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  1 #> USP43         . .  . .  . 1 .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> USP46         . .  1 .  . . .  . .  1 .  .  .  .  1  .  . . 1 . . . . . . 1 2 .  1  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> USP47         . .  . .  . . .  . 2  . .  .  .  1  1  .  . . . 1 . . . . . . . 1  1  1 1  .  1 . . 1 . .  . . . . .  . . 1  .  . .  . #> USP48         . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . 1  1 . . . 1  . . .  .  . .  1 #> USP49         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP5          1 .  . .  2 1 .  . 1  . .  .  .  1  1  1  1 . . . 1 2 1 . 1 . . .  .  . 1  .  . . . . . .  3 . . . .  . . .  .  2 .  1 #> USP50         . .  1 .  . 1 1  1 .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . 1  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> USP51         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> USP53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP54         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> USP6          . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP6NL        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP7          1 .  . .  . . 1  . .  . .  .  .  .  .  .  . . 1 1 . . . . . . . .  1  . .  1  . . . 1 . .  . 1 . . .  . . 1  1  . .  . #> USP8          . .  . .  . 1 1  . 1  1 .  .  .  .  2  .  1 . . . . . . 1 . . 1 .  .  . 1  .  . . . . . .  1 . . . 1  1 . .  .  . .  . #> USP9X         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . 1  . #> USPL1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> UTP14A        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP14C        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP15         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP18         1 .  . 1  . . 1  1 .  1 .  .  .  .  .  .  1 1 1 . . . . . . . 1 2  2  1 .  .  . 1 . . . .  . 2 . . .  . . 1  .  . 1  . #> UTP20         1 .  . .  . . .  . 1  . .  .  .  .  .  2  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP23         . .  2 .  . 1 .  . .  . .  1  .  .  2  1  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UTP3          1 .  . 1  1 . 3  1 .  . .  4  .  1  1  3  1 . . . . 1 1 . 2 1 . .  1  . 2  1  . . . . 1 1  2 . 1 1 2  . 1 2  .  2 .  1 #> UTP6          . .  . 1  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UTRN          . .  1 .  . . .  . .  . .  .  .  1  .  .  1 . . 1 . . . . . . 1 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> UTY           . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVRAG         . .  . .  . 1 .  . .  . .  .  .  2  .  .  . . . . . 1 . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVSSA         . .  . .  . . .  . .  . .  .  .  .  1  2  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> UXS1          1 .  . .  . . .  . .  . .  .  .  .  .  2  . . . . 1 . 1 . 1 . . .  .  . .  .  1 . . . . .  1 . . 2 .  . . .  .  . .  . #> UXT           . .  2 .  . . .  . .  1 2  .  .  .  .  .  1 . . . . . . 1 . 1 1 .  .  . .  .  . . 1 2 1 1  2 . . . .  . . .  .  . .  . #> VAC14         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VAMP2         . 1  . .  . 1 .  . 2  2 1  1  .  .  .  1  . . . 3 . 1 2 3 1 1 2 .  2  . .  1  2 1 2 . . .  2 . . 1 1  . 1 3  1  . .  1 #> VAMP3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VAMP4         . .  1 .  . . .  . .  . .  .  .  .  .  .  2 . . . 1 . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VAMP5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP8         4 .  3 1  . 4 2  . 4  1 4  2  4  .  7  4  . . 3 1 2 2 . 1 1 1 2 3  4  1 4  3  1 . 1 3 2 8  1 5 3 . 1  . 1 1  4  4 4  6 #> VANGL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 2  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> VANGL2        . 1  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . . . 1  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> VAPA          6 2  4 2  3 1 1  5 3  3 2  .  .  3  3  3  2 2 3 2 . 3 . 4 1 . 2 .  5  1 .  .  2 1 2 3 1 2  4 2 . 1 .  1 1 3  3  3 1  2 #> VAPB          2 2  2 2  . . .  1 1  1 .  .  .  .  2  .  . . 1 . 1 2 3 1 1 3 1 .  1  . .  1  1 1 . 2 1 2  1 . 5 . 1  . 1 .  .  . 1  1 #> VARS1         . .  4 .  . . .  . .  2 .  .  .  .  1  1  . . 1 . . . 1 . . . . .  .  . .  .  1 . . 1 2 2  1 1 . . .  . . .  1  . .  3 #> VARS2         . .  1 .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASP          1 2  2 .  1 1 .  3 .  1 6  3  2  2  1  2  . 2 1 2 2 . . 1 8 4 2 3  3  . 2  3  5 1 1 1 2 1  1 2 . 3 2  1 1 2  .  1 1  3 #> VAT1          1 .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 1  .  . 1 . 1 . 1  . . . . .  . . .  .  1 .  1 #> VAT1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  .  . .  .  . . 1 . . .  1 . . . .  1 . .  .  . .  . #> VAV1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VBP1          1 3  2 .  1 1 .  . 3  1 3  1  1  2  1  1  1 . 1 3 2 1 4 2 2 3 . .  3  3 .  2  1 3 1 1 . 1  4 1 3 1 4  3 . 2  1  2 2  2 #> VCAM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCAN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCL           . .  . .  . 1 .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCP           3 2  3 3  4 2 2  3 .  1 2  5  3  2  1  4  5 4 . 2 1 8 2 6 6 1 3 2  3  3 1  4  3 3 1 8 4 4  9 3 1 1 3  1 2 1  3  3 1  3 #> VCPIP1        . .  . .  . . .  . .  1 1  .  .  .  .  .  . 1 1 . . 1 . . . . . .  2  1 .  .  . . . . . .  . . 1 . 1  . . 1  .  . .  1 #> VCPKMT        2 .  . 1  . . .  2 .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VDAC1         4 1  5 2  2 2 .  2 2  4 1  .  1  .  2  5  3 . 1 1 2 . . . 1 1 1 1  1  1 .  .  1 2 . 2 . 3  . . 3 3 1  1 1 4  2  2 1  4 #> VDAC2         3 2  7 3  4 . .  6 1  3 3  2  3  5  2  5  6 1 3 2 4 1 2 . 1 2 1 2  5  4 2  5  4 1 2 4 2 1  7 3 5 6 1  1 1 1  3  4 .  2 #> VDAC3         4 2  8 .  2 2 2  4 1  4 2  2  2  4  3  6  1 3 1 2 1 2 2 5 1 4 3 1  3  4 2  2  3 2 2 3 1 2  2 . 1 2 2  2 . 2  1  1 4  3 #> VDR           . 2  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . 3 . . . . . .  1  . .  .  2 . . . . .  . . 1 . .  1 1 .  .  . .  . #> VEGFA         1 .  1 .  . 2 .  . .  . .  .  1  .  .  1  . . . . . 1 . 1 . . . .  .  . .  .  . . . . . .  1 1 . 1 .  . . .  .  . .  . #> VEGFB         . .  . .  . 1 .  . .  . .  .  .  1  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> VEGFC         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEPH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEZF1         . .  2 1  . 1 .  . .  . .  .  .  1  1  2  . . . . . . . 2 . . . 1  .  . .  1  . 1 . . . .  1 . . 1 .  1 . 1  1  1 .  . #> VEZT          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGF           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> VGLL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL4         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . 2 .  .  . .  .  . . . . . 2  . . . 2 .  1 . 1  .  2 .  . #> VHL           . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VHLL          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIL1          . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . . . . 3 1 . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> VILL          1 .  2 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIM           4 . 12 .  5 6 .  1 .  5 .  .  .  . 16 14  . . 2 . . . . . . . 7 1  .  . 4  2  1 2 . . . 6  . . 3 7 .  . . 1  2  2 2  8 #> VIPAS39       . .  . 2  . 1 .  1 .  . .  .  .  .  .  .  . 2 . . 1 . . . . . . .  .  . 1  2  . . 2 . 2 .  1 . . 1 .  . . .  1  1 .  . #> VIPR1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIPR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1L1      . .  1 .  . . .  . .  . .  .  .  .  1  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> VLDLR         . .  . .  . . 1  . .  1 .  .  .  .  .  .  . 1 . . . . . 1 . . . .  .  . 1  .  1 . . . 1 .  . . . . .  . . .  .  2 .  . #> VMA21         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VMAC          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . 1 . 4 . . . .  1  . .  .  . . 1 2 . 1  . 1 . . .  . . .  .  . .  1 #> VMP1          1 .  1 1  1 . 1  . .  . .  .  1  .  1  4  . . 2 . . 1 . . . . 2 2  .  1 .  2  . . . . . 1  . . . . 4  . . .  .  1 .  2 #> VN1R5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VNN1          3 .  . .  . 1 .  . .  . .  .  .  .  1  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> VOPP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPREB1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> VPS11         . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  1 1 . . .  1 . .  .  . .  . #> VPS13A        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VPS13C        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13D        . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS16         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  1 .  .  . . . 1 . .  . . . . .  . 1 .  .  . .  . #> VPS18         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS25         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS26A        . 1  . .  1 1 .  . .  . .  .  1  .  .  2  . . 1 . 1 . . . 1 . . .  1  . .  .  1 . 1 . . .  . . . . .  . . .  .  . .  2 #> VPS26B        . .  1 .  . . .  . .  . .  1  .  .  1  .  . . . . . 1 3 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS29         2 .  1 2  1 1 1  1 1  1 2  1  1  .  1  1  4 . 1 3 . . . 1 2 . 2 1  .  1 1  .  2 . 1 4 2 1  1 1 . . .  . 1 2  3  1 3  . #> VPS33A        . .  . .  1 . .  3 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS33B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS35         . 1  1 1  . . 1  6 7  1 3  1  .  .  .  .  . 1 . 1 . 1 . 1 2 1 . 2  4  . 1  .  1 1 . . . .  3 2 1 . .  . 2 1  .  . .  2 #> VPS36         2 .  4 1  . . 1  . .  1 .  1  1  1  1  1  1 . . . . 2 . . . . 3 .  .  2 1  .  1 1 . 1 . .  2 . . 3 .  . 3 1  .  . .  2 #> VPS37A        . 3  . 1  . . .  1 .  . .  .  1  .  1  .  . 1 . 2 . . 4 . 1 . . 1  1  1 .  1  1 1 . . . .  1 1 2 . 3  . 1 .  2  2 1  . #> VPS37B        3 .  1 .  . 1 .  . .  . .  3  1  1  .  .  . 2 1 . . . 1 1 . 1 . .  .  . 1  .  . . . . 1 .  1 . . . .  . . 1  .  . 1  1 #> VPS37C        . .  . .  . . .  . .  . .  .  .  .  .  1  . 1 . . . . . . . . 1 .  .  . .  .  . . . 2 . .  . . . . .  . . .  .  . .  . #> VPS37D        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> VPS41         . .  . .  . 1 1  . 1  . 1  .  .  .  1  .  1 . . . . . . . . . . .  1  1 1  1  1 1 1 1 . 1  . 1 . . .  . . .  1  2 .  1 #> VPS45         . .  1 .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . 1  . #> VPS4A         2 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  1 .  .  . . . 1 . 1  . . . 2 .  . . 1  .  . .  . #> VPS4B         . .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS50         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  1  . .  . #> VPS51         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> VPS52         . .  1 .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . 1 . 1 . .  . . . . .  . . .  1  . .  . #> VPS53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS54         . .  . .  1 . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS72         . 2  1 4  2 2 2  1 2  1 .  1  1  2  1  3  . . 2 2 2 2 . 1 1 . 1 1  .  1 3  2  2 1 2 . 1 .  3 1 . . .  1 1 .  1  . 1  2 #> VPS8          . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 1 . 2 . . . .  1  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> VPS9D1        . .  . .  1 . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  1 #> VRK1          . .  2 .  . 1 .  1 .  . .  .  1  .  2  1  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . 1 .  1 . .  .  . .  1 #> VRK2          . .  1 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VRK3          . .  2 .  1 2 .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . 1 . 1 . .  . . . 1 .  . 1 .  .  . 1  . #> VSIG1         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10L       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIR          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSNL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2L        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VTA1          1 2  . 1  1 . 1  2 .  . .  .  .  2  1  2  1 . . . 1 . . . . . . 1  2  . 1  2  2 . 1 . . .  2 . 1 . .  . 1 1  2  1 .  1 #> VTCN1         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1A         . .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1B         1 1  1 .  2 . 2  2 1  . .  3  1  .  1  2  . . . 1 1 . . . . 1 . .  2  . .  .  . . 1 3 2 .  4 . 1 1 .  . . .  .  . 1  1 #> VTN           . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> VWA1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 3 . . . .  . . . . .  . . .  .  . .  . #> VWA2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5A         . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . 1  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> VWA5B1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5B2        . 1  . 1  . . 1  1 .  2 2  1  2  .  .  .  . 2 . 1 . 3 . . 3 1 . .  1  1 .  .  1 1 . . 1 .  1 . 1 . 1  4 1 3  .  . .  . #> VWA8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWC2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWCE          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAC           . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAPL          2 1  1 1  2 1 1  . .  . .  .  .  1  .  1  1 . 2 1 . . 1 . . . . 3  .  . 2  1  3 1 . . . 2  2 . 2 1 .  1 . .  1  1 .  2 #> WARS1         . .  1 .  . . 1  2 3  1 .  .  .  .  .  1  1 . . 1 . . . . . . . .  .  1 .  1  1 . . 1 . .  . 3 . . .  . 1 .  .  . .  . #> WARS2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASF1         . 1  . .  . . .  . .  . .  .  1  1  .  1  . . . . . 1 . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . 2  .  . .  . #> WASF2         1 .  . .  . 1 2  . .  1 .  .  1  2  1  1  . . . . . 1 . . 2 . . .  .  1 .  .  . 1 . 1 . .  . . . . .  1 . .  .  1 .  . #> WASF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASL          . .  1 .  . . .  . .  . 1  .  1  1  .  1  . 1 . 2 2 . 1 . 1 . . .  1  1 1  2  . 1 1 1 . 1  1 . . 1 .  . 1 .  .  . .  1 #> WBP1          1 .  2 1  . 1 1  2 .  . .  .  .  .  1  2  . 1 1 . . 1 . 2 . 1 3 .  1  . .  1  1 . . 2 1 2  . 1 . 2 3  . . .  1  5 .  1 #> WBP1L         . .  1 1  . 1 .  . 1  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  1 .  .  1 . . . . 1  . . . . .  . . .  1  . .  1 #> WBP2          1 .  3 4  1 . 1  . .  . .  .  .  1  .  .  2 1 1 . . . 1 . 2 1 1 2  .  1 1  2  . . . 2 2 .  1 1 . . .  3 1 .  .  1 .  1 #> WBP4          4 .  1 .  . . 1  1 .  . .  .  .  .  2  .  . . . . 1 1 4 1 . . 1 3  1  1 .  1  . . . . 3 .  1 . . 3 .  1 1 .  1  . .  . #> WDFY1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . 1  .  1 . . . . .  . . . 1 1  . . .  .  . .  . #> WDFY3         . 1  . .  . 1 .  . .  . .  .  .  .  1  .  . . . . 1 . . . 1 . 1 .  1  . 1  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> WDHD1         . .  1 .  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDPCP         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WDR1          . .  1 .  . 1 1  . 1  1 2  1  .  2  1  .  1 . . . 1 . . . 4 . 1 .  .  . .  .  2 2 . 2 . .  . 2 . 1 1  . . 1  1  . 1  1 #> WDR11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> WDR12         . .  . .  . . .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  1 #> WDR13         1 .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> WDR18         . .  2 .  1 1 .  1 .  . 1  .  1  1  .  1  1 1 . 1 1 . . . 2 . . 1  1  . .  .  . . . . . .  1 1 1 . .  . 1 .  .  1 2  2 #> WDR19         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR24         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR25         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR26         1 1  1 .  . . .  1 .  . .  .  .  1  .  1  . . . 1 . . . . . . 2 1  1  . .  .  . . 1 . . .  2 1 . . .  1 . .  .  . 1  1 #> WDR3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR31         1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR33         . .  . .  2 . .  . .  1 .  1  .  .  .  1  . . 1 1 . . 1 1 . . . .  1  . .  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR36         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR37         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR4          . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> WDR41         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 1 . . . 2 . . . . .  .  . 1  .  . . . 1 . .  . . . 1 1  1 . .  .  . .  . #> WDR43         1 1  . .  3 . .  . .  . 1  .  .  1  .  .  . . . . 2 2 1 . . . 1 .  .  . .  .  . . . 1 . .  . . . . .  . . 1  .  . .  . #> WDR44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45B        . 1  . .  . . .  1 1  1 1  .  1  .  .  1  . . . 1 . . 1 . 1 1 1 .  1  . .  .  . 1 2 1 . 1  1 . . . 1  . . 1  .  . .  2 #> WDR46         1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  2 1 . 1 . .  . . . . .  1 . 1  .  1 .  . #> WDR47         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> WDR48         . .  . .  1 . .  1 .  . .  .  .  .  .  .  1 . . 1 . 2 . . 1 . . .  .  2 .  .  1 . 1 . . .  . . 1 . .  . . .  .  . .  . #> WDR49         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5          . 1  . .  . . .  . 1  . .  .  .  1  2  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . 2  . #> WDR53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  .  . 1  . #> WDR54         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  1 .  . #> WDR55         . .  1 .  . 1 1  . .  . 2  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . 2  1  . . . . . .  1 . . . .  . . .  .  . .  1 #> WDR59         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR6          . 2  . 1  . 2 .  1 2  1 .  .  .  2  .  1  . 2 . 2 1 2 1 1 1 . 2 2  1  . 1  .  . . . 1 . .  5 1 . . 2  . . 1  1  1 1  . #> WDR61         . 1  1 .  2 . .  . 2  1 .  1  .  1  .  1  1 1 . 3 . . . . 2 1 3 .  1  . .  1  . . . 3 . 1  . . . . .  1 . 1  .  . 1  1 #> WDR62         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WDR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR70         . .  . .  1 . .  . .  . .  .  .  .  .  2  . . . . . . . . . . . .  .  . 1  .  . . . . 1 .  . . 1 . .  . . .  .  . .  . #> WDR72         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR73         . .  1 .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . . .  .  . 1  .  . . 1 . 2 .  . . . 1 .  . . .  1  . .  1 #> WDR74         . .  1 .  . 1 .  1 .  . .  1  .  .  .  .  . . . . . . . 1 1 1 . 1  .  . .  .  . . 1 . . .  . . . 1 .  . . 1  1  . .  . #> WDR75         1 .  2 .  . 1 .  . .  . .  2  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> WDR76         . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> WDR77         . 1  . .  . . .  . .  . .  .  .  .  .  1  1 . . . . 1 . . 1 1 . 1  1  . .  .  . . . . . .  1 . . . 1  . . 1  .  . .  . #> WDR81         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR82         1 .  . .  . . .  . .  . .  1  2  .  .  1  . . . . 1 . . . 1 . 1 .  .  . .  1  . . . . . 1  . . . . .  . . .  .  1 .  . #> WDR83         . 1  . .  1 . .  . .  . .  .  1  .  .  1  . 1 . 1 2 1 . . . 1 . .  2  . .  2  . . 1 1 1 .  2 . . . .  . 1 .  1  . .  . #> WDR83OS       2 1  3 3  1 1 1  1 2  2 1  1  .  1  3  .  1 2 . 1 1 1 2 1 . 1 . .  2  1 1  2  1 2 1 3 1 1  4 2 1 1 2  . . 1  1  3 .  1 #> WDR86         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR89         . .  2 2  . 3 .  . 1  1 1  .  1  1  1  .  . . . . 2 . 1 2 2 2 3 1  1  2 .  1  . . 1 1 . 4  1 3 . 3 2  1 1 1  1  4 .  2 #> WDR90         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR91         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR92         . .  . .  1 1 .  2 .  . .  .  1  .  .  .  . . . . . . . . . 1 . .  .  1 1  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR93         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDSUB1        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 1  .  . .  .  . . 1 . . .  . . . . .  . 1 1  2  . .  . #> WDTC1         . .  . .  . . 2  . .  . .  .  .  .  1  .  . . 1 1 . . . 1 . . . .  .  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> WEE1          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WEE2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC10A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC13        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC2        10 . 10 .  6 3 .  . .  . 1  .  .  .  5  7  . . 4 1 . . . . . . 8 .  .  1 4  3  . . 2 . 1 3  1 . . 1 4  1 . .  .  3 .  7 #> WFDC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN1       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN2       1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WFS1          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . 1 . 1 . .  1 1 . . .  . 1 1  .  . .  . #> WHAMM         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WHRN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIF1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> WIPF1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPF2         . .  . .  . . .  . .  . .  .  .  .  .  2  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  3 . . . .  . . .  .  . .  . #> WIPF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPI1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . 1 . . 2 . . . .  1  . .  .  . . . 1 . .  2 2 . . .  . . .  .  . .  . #> WIPI2         . 1  . .  . 1 1  . .  1 .  .  .  .  .  .  . . 1 2 . 1 . . 1 . . .  1  . .  .  . . . . 1 1  1 . 1 . .  . . 1  .  . .  . #> WIZ           2 .  . .  1 . .  1 .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> WLS           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNK1          . .  . .  . 1 .  . .  . .  .  .  .  .  .  1 . . . 1 . . . . 1 . 1  1  1 .  .  . . . 1 . 1  2 . . 1 .  . . 1  .  . 1  . #> WNK2          . .  . .  1 . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 1 .  . . . . .  1 . .  .  . .  . #> WNK3          . .  1 .  . . .  . .  . .  .  .  4  .  .  . . . . . . . . . . . 1  .  . .  .  . . 1 . . 1  . . . . .  . . .  .  . .  . #> WNK4          . 1  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> WNT10B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT3          . 1  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WNT4          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5B         . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT7B         2 .  3 .  1 . .  . .  . .  .  .  .  .  3  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  1 #> WNT9A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT9B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WRAP53        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WRAP73        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . 2 1 .  .  . 1  .  . . . 1 1 .  . . . 1 .  . . .  .  . .  . #> WRN           . .  . .  . . .  . .  . .  .  .  .  1  .  . 1 . . . . . . 1 . . .  .  1 .  1  . . . . . .  . . . . .  . . .  .  . .  . #> WRNIP1        . .  1 .  1 . 1  . .  . .  .  .  .  .  1  . . . 1 . . 1 . . . . .  1  1 .  .  . 1 . . . 1  . 1 . 1 .  . . .  .  . .  . #> WSB1          . .  2 .  1 . 2  . .  . .  .  .  .  .  .  . 1 1 . 1 . . . 1 . 3 1  .  . 1  .  . . 2 . . 1  . . . . .  . . .  .  2 .  . #> WSB2          . .  1 .  . . .  2 .  1 .  .  .  .  .  1  . . 1 . . 1 1 . . . . 1  1  . .  .  2 . . 1 . .  . 3 . . 1  . 1 .  .  . .  1 #> WSCD1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> WTAP          . 1  2 .  . . .  1 .  . .  .  1  1  .  .  . . 1 . . . . . . . . 1  .  . .  .  . . 1 . . .  . . . . 2  . . .  .  . .  . #> WTIP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> WWC1          1 .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 3 .  . . .  .  . .  1 #> WWC2          1 .  . .  . . .  . 1  . .  .  .  .  1  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WWOX          . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 1 . .  . . 1 . .  . 1 .  .  . .  . #> WWP1          . .  . 2  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . 1  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> WWP2          . .  1 .  . . .  . 1  . .  1  .  .  1  .  . . 1 . . . 1 . . . . .  .  . .  .  . . . . . .  1 . . . 2  . . .  2  . .  . #> WWTR1         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XAB2          . .  . .  . . 1  . 1  . .  1  .  .  1  .  . . . . . . 1 . . . . .  1  1 .  .  . . . . . 2  1 . 1 . .  . . .  .  . .  1 #> XAF1          . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> XBP1          1 .  2 .  . . .  3 .  1 .  .  2  .  .  .  . . . . 2 1 1 . . . . 2  1  . .  .  . 1 1 6 2 .  2 3 1 2 .  . . 1  .  . 2  1 #> XDH           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XIAP          . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  1  . .  .  . . . 1 . .  . . 1 1 .  . . .  .  . .  1 #> XK            . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> XKR5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR9          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPA           . .  2 .  . . .  2 .  . .  .  1  .  .  .  . 2 . 1 . . . . . . 1 .  .  . .  .  . 1 . . . .  3 . 1 . 1  . . .  .  . .  . #> XPC           . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> XPNPEP1       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> XPNPEP2       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPNPEP3       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  1  . .  . #> XPO1          . .  . .  . . 1  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  1  1 . . . 1 .  1 . . . .  . 1 .  1  . .  . #> XPO4          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO6          . .  1 .  . 1 .  . .  . .  .  2  1  .  .  . . . . . . . . . . . .  .  . .  .  1 1 . . . .  1 . 1 1 .  . . .  1  1 .  . #> XPO7          . .  1 .  1 1 .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . 1 .  .  1 1  1  . . . . . .  1 . . 1 .  . . .  .  1 1  . #> XPOT          1 1  . .  . . .  . .  . .  .  .  1  .  .  1 1 . . 1 1 . . . 1 . .  .  . 1  .  . . . . . .  . . . . .  . . 1  .  . .  . #> XPR1          . .  . .  . . .  2 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . 1  .  1 1 . . . .  1 . . . 1  . . .  .  1 .  . #> XRCC1         1 .  2 .  1 . .  1 .  . .  1  2  1  .  2  3 . 1 . . . . . . . 2 .  .  . .  .  . 2 1 . 1 .  . . 1 1 .  2 . 1  .  . .  1 #> XRCC2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> XRCC5         . .  . 1  1 1 .  1 .  . .  .  .  .  1  .  1 . . . . . 1 1 . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC6         2 .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . 1 . . . . 1 1  .  . .  .  . . . . . .  . 1 . 3 .  . . .  1  1 .  . #> XRN1          . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRN2          . .  2 .  . 3 2  . .  . .  .  .  .  .  1  . . . 3 1 1 1 . . 1 1 .  .  2 1  .  . . . 1 . 2  1 1 . . 3  . . 1  1  1 1  . #> XRRA1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XXYLT1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLB          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> XYLT1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLT2         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> YAE1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  . . 1 . 1 .  . 1 . . .  . . .  .  . .  . #> YAF2          . 3  1 .  1 . .  1 1  1 .  2  .  .  1  .  . . . 2 1 1 3 1 2 2 1 .  2  2 1  .  1 2 2 1 . 1  2 1 1 1 1  . . 1  2  . .  1 #> YAP1          1 .  1 .  . 1 .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> YARS1         . .  1 .  . . .  1 .  . .  .  .  .  .  1  1 . . 1 . . . 2 . 1 . .  .  . .  .  . . . . 1 .  . . . . 1  . . .  1  . .  . #> YARS2         1 .  1 .  1 . .  . .  . .  .  .  .  .  .  1 1 . . . 1 1 . . . . .  .  . 1  .  . . . . 1 .  . . . . .  . . .  .  . .  1 #> YBEY          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX2          . .  . .  . . .  . .  1 .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . 1 . .  2  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> YDJC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YEATS2        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 1 .  . . .  .  . .  . #> YEATS4        1 .  2 .  1 . .  1 2  . 1  1  1  .  .  1  1 . . 1 1 2 . . . . . .  1  3 .  1  1 1 . . 1 4  . . . 1 1  . . 1  .  . 2  2 #> YES1          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> YIF1A         1 1  1 .  1 1 2  . 1  . .  1  .  1  .  1  1 . . 1 . 1 . . 2 . 1 .  1  2 .  2  1 . 1 4 . 1  1 . . . .  1 1 .  .  . .  . #> YIF1B         1 .  1 .  . 2 .  2 .  . .  .  .  .  .  3  . . . . 1 1 1 2 1 . . .  1  1 .  .  . 1 . 1 . .  1 2 . . .  . . .  .  . 1  . #> YIPF1         . .  . .  1 . .  1 1  1 .  1  .  1  .  1  1 1 . . . . . 2 . . . .  1  1 .  .  . . . . . .  . 2 . . .  1 . .  1  . .  . #> YIPF2         . .  . .  . 1 1  2 1  . 1  .  .  .  .  1  . . 1 . . 1 . 1 . . . 1  1  4 .  .  . . . . . 1  . . 2 . .  1 1 .  .  . 1  1 #> YIPF3         . .  . .  . 1 5  1 1  1 .  1  1  1  2  1  . 1 1 1 1 . . . 2 1 1 1  2  3 .  .  . 1 . 1 1 .  . . . 2 3  2 2 1  .  . .  . #> YIPF4         1 2  1 1  2 1 4  2 1  1 2  1  2  1  1  2  3 . . 5 1 3 2 2 3 . 3 .  .  3 .  7  3 1 2 2 . .  3 1 1 2 5  1 1 4  3  1 1  1 #> YIPF5         2 2  1 2  . 1 2  3 .  2 .  1  .  1  1  1  1 1 1 . . 1 1 3 . . 1 .  1  . .  1  2 1 1 . . 1  1 . . . .  1 3 .  1  . 1  1 #> YIPF6         . .  1 .  . . .  2 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> YKT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 2 . . . . .  .  1 1  1  1 . 1 . . .  . . . 1 .  . . .  .  1 1  1 #> YLPM1         . 1  1 .  . . .  . .  . .  .  1  .  2  1  . . . . . 1 . . . 1 . .  1  . 2  .  . . . . 2 .  . . . . 2  . . .  1  . .  . #> YME1L1        1 .  3 .  . . .  . .  1 .  3  .  .  .  .  1 1 1 . . . . . 1 . 1 .  1  1 .  1  . . . 1 . .  . . . . 1  . 2 .  .  . 1  . #> YOD1          . .  . .  . . .  1 .  . .  .  .  1  .  .  . . 1 . . 1 . . . . 1 .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> YPEL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL2         . .  . .  . . .  1 .  1 .  .  .  2  .  .  1 . . . . . . . 1 . . .  1  3 .  .  1 . . . . .  . . . . 2  . . .  .  1 .  1 #> YPEL3         . 6  . 2  . 1 3  3 1  5 4  2  5  1  2  .  1 8 . 4 5 2 5 . 8 1 . 3  7  4 .  2  3 3 2 1 5 .  2 1 4 . 6  1 1 4  3  4 2  1 #> YPEL4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL5         . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . 1 1 . . 1 1 1 . 1  .  1 .  .  . 1 . . . .  . . 1 . .  1 . .  .  . .  . #> YRDC          . 1  2 .  2 . .  1 .  1 .  .  .  1  .  1  5 . . . 1 1 . . . . 1 1  1  . .  .  1 2 2 . . 3  . . 2 1 1  2 1 .  1  . .  1 #> YTHDC1        . .  . 1  . . .  . .  . .  .  .  1  .  2  1 . . . . 2 . . . . . .  .  . .  2  1 . 1 . 1 1  . . . . .  2 . .  1  . 1  . #> YTHDC2        . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YTHDF1        . .  . .  1 . 1  . 1  1 .  .  2  .  .  1  1 . . . . 1 . 1 . . 1 .  .  . 1  1  . . . 1 1 .  1 1 . 2 .  . 1 .  .  1 .  . #> YTHDF2        . 2  3 1  1 . .  1 1  . .  .  4  2  1  2  . 1 . 1 . . . . . 1 1 .  .  1 1  1  3 . 1 2 . 1  2 . 1 . .  2 2 1  1  . .  1 #> YTHDF3        . .  . .  1 1 .  . .  . .  1  .  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> YWHAB         3 1  4 2  1 1 1  1 5  2 1  1  1  3  .  2  3 1 1 3 1 2 3 2 4 1 . 2  1  3 4  2  1 1 2 1 2 1  1 4 . 3 .  2 . 2  .  3 2  4 #> YWHAE        10 4 11 5  6 7 2 11 5 10 4 11 10  7  9 14 12 6 3 9 4 5 7 7 5 8 5 5 10 14 4 10 12 8 2 9 6 7 18 6 5 6 5 10 1 7 11 12 4 14 #> YWHAG         . .  1 1  . . .  2 1  1 .  .  1  .  .  2  . . . . . . 1 1 1 2 . 2  1  . .  .  1 1 . 2 1 .  2 . . . 1  2 1 .  .  . .  . #> YWHAH         5 3  5 3  2 3 3  4 2  5 4  1  .  2  2  6  2 1 2 1 1 1 1 1 2 1 2 2  1  2 .  1  2 2 1 4 1 1  4 2 1 1 1  1 2 1  2  . 6  1 #> YWHAQ         9 6  6 4 12 4 1 15 6  3 3  3  9  9  3  8  2 6 4 1 1 6 3 7 1 4 4 .  7 10 8  5  2 5 5 5 3 7  4 5 4 7 3  2 3 5  5  2 2  8 #> YWHAZ         3 1  . 1  . . .  1 1  1 .  2  .  1  1  2  2 . . . 1 . 2 1 1 . . 4  2  1 2  3  . 1 1 1 . 1  1 . 1 . .  . . 1  2  . 2  2 #> YY1           . 1  1 .  . . .  . 1  3 1  .  .  .  1  1  . . . 1 . . 2 1 . . 1 2  1  1 .  1  3 2 1 2 . 1  1 1 1 1 1  . 1 .  1  1 .  1 #> YY1AP1        . .  1 .  . . .  4 .  . .  .  2  .  2  2  1 . . 1 . . . . . . . .  .  . .  .  . . . . 1 .  1 . . 1 1  1 . .  .  . .  . #> Z82190.2      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> Z83844.1      . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> Z84488.1      . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZADH2         . .  1 1  . . .  . 1  . .  .  .  2  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZAP70         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBED3         . .  1 .  . 2 .  . 2  . .  1  .  .  .  .  . . 1 . 1 . 1 . 1 . 1 .  .  1 .  .  1 . . . . .  . 2 . . .  1 . 1  .  1 2  . #> ZBED4         . .  1 .  . . .  . .  . .  .  1  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 1 .  . . 1  .  1 .  . #> ZBED9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZBP1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB1         . .  . .  . . 1  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 3 . .  . . . . .  . . .  1  . .  . #> ZBTB11        1 1  . .  . . .  1 .  . 1  .  2  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . 1 .  . . .  .  . .  1 #> ZBTB12        . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . . . . 1 . . . 1 .  .  . 1  .  . . . . . .  . . . 1 .  . . .  1  . .  . #> ZBTB14        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZBTB16        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB17        . .  1 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB18        . 1  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> ZBTB2         . .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB20        1 .  1 1  . 2 .  1 .  3 2  1  .  3  1  4  1 . 2 1 2 3 2 . 2 2 1 5  2 11 2  2  2 . . 6 . 4  3 2 3 1 .  2 3 5  6  1 2  . #> ZBTB21        . .  1 .  . . .  . .  . .  1  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB24        . .  . .  . . .  . .  . .  .  .  .  .  1  2 . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZBTB25        . .  . .  1 . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . 1 . .  . . .  1  . 1  1 #> ZBTB26        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB32        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB33        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> ZBTB34        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB37        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZBTB38        . .  2 .  . 1 .  . 1  . .  .  .  .  .  1  . . . . . . . . . . 1 .  1  . .  .  . . . . . 1  . . . . .  . . .  2  . 1  1 #> ZBTB39        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZBTB40        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB41        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZBTB42        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB43        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  1 . 1  .  1 .  . #> ZBTB44        . .  1 .  . . .  . .  1 .  .  .  1  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB45        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . . . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB46        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB47        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB48        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB49        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> ZBTB5         . .  1 .  . . .  . .  . .  .  .  1  .  1  . . . . . 1 . . . . . .  .  . 1  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZBTB6         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7B        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZBTB7C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB8A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . 1  . #> ZBTB8B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB8OS       1 .  . .  1 . .  . .  . .  1  .  1  .  .  . 1 . . . . 1 . . . . .  .  2 .  .  1 . . . . .  . . . . 1  1 . .  .  . .  . #> ZC2HC1A       . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> ZC2HC1C       . .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . 1 .  . 1 . . .  . . .  .  . .  . #> ZC3H10        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . . 1 . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12A       . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12C       . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H13        . .  1 .  2 . 2  . 1  1 .  .  .  1  1  .  . . . 1 2 . 1 . 1 . 2 .  .  . 1  .  . . 1 . . .  . 2 . . .  . . .  .  3 .  . #> ZC3H14        2 1  1 .  . 4 2  1 1  2 .  .  1  .  1  .  1 . 1 1 2 . . . 2 . . 2  1  1 .  .  2 . 2 1 . .  . 2 1 1 1  1 . 2  .  . 3  1 #> ZC3H15        1 1  . .  1 . 1  1 2  1 .  1  2  .  3  2  1 2 . . . . 1 . 1 3 . 1  .  2 .  1  2 . . . . 2  1 2 1 . 1  . . .  1  2 1  1 #> ZC3H18        2 .  . .  . . 1  . 1  . .  .  1  .  .  2  . 1 . . 1 . . 1 . . 2 1  .  . .  .  1 . . . . .  . . 1 . 2  . 1 .  .  . .  1 #> ZC3H3         . .  . .  . 1 1  2 .  . .  .  1  .  .  .  . . . . . . . 5 . 1 . .  .  . .  .  1 . . . . .  . 2 . . .  . . .  .  . .  . #> ZC3H4         2 .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> ZC3H6         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 1 1 . 1  . 1 1  .  . .  . #> ZC3H7A        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  1 .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H7B        . .  . .  1 . .  . 2  . .  .  .  3  .  1  . . . . . 3 . . 1 . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZC3H8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . 1 . . . .  . . . . .  1 . .  .  1 .  . #> ZC3HAV1       . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZC3HAV1L      . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3HC1        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . 2  .  . .  .  . . 1 . . 1  . 1 . . .  . . .  .  . .  1 #> ZC4H2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZCCHC10       1 1  . 1  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC12       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC14       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZCCHC17       1 .  2 1  . 1 .  1 1  1 1  .  1  2  2  3  1 . 1 . . . . 1 . 2 . 3  1  1 1  .  1 1 1 1 . 1  2 . . . .  1 2 .  1  . 1  . #> ZCCHC18       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZCCHC24       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC3        . .  1 3  . 1 .  2 1  . .  1  .  2  1  1  2 . . . . 2 . . . . 1 .  1  . .  1  . . 1 . . .  1 . . . .  . . .  .  . .  . #> ZCCHC4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC7        . .  . .  . 1 .  . .  . .  .  1  .  .  .  1 1 . . . . . . . . 2 .  .  . 1  .  . . . . 1 .  . . . . .  . . .  1  . .  1 #> ZCCHC8        1 1  1 .  . . .  . .  . .  .  .  .  1  1  1 . . . . 1 1 1 . . . 1  .  . .  .  . . . . . .  . . 1 . .  . . .  .  2 .  . #> ZCCHC9        . .  1 .  . . 1  2 .  . .  .  .  3  1  1  . . 2 . 1 . 1 . . . 1 .  1  1 .  1  . . . . . .  . 1 1 . .  . . .  .  . .  1 #> ZCRB1         4 .  6 3  1 2 .  3 1  . 1  1  .  2  1  4  3 . 1 1 2 2 1 1 2 3 3 3  5  8 1  .  . 1 1 1 . 2  4 2 1 2 2  . 1 4  2  2 3  1 #> ZCWPW1        . .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . . . . . . . 2 .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZDBF2         . .  . 1  . . .  1 1  . 1  .  1  3  .  1  2 . . 2 1 . 4 . 2 . . 2  1  1 .  .  . 2 . 2 . .  1 1 3 . .  1 1 2  .  . .  . #> ZDHHC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . .  1 #> ZDHHC12       1 .  . 2  . 2 .  1 .  . .  2  .  .  .  1  . 2 . . 1 1 . . . 1 1 .  2  2 .  1  . . 1 . . 1  . 1 . . .  1 . .  1  . .  . #> ZDHHC13       . .  2 1  . . 1  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC14       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZDHHC15       1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC16       . .  . .  2 2 .  . .  . .  1  .  .  .  2  . . . 1 . . . . . . . .  .  1 2  .  . . . . . 1  . 1 . . .  . . 1  .  1 .  1 #> ZDHHC17       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC20       . 1  . .  1 . .  1 1  2 1  1  .  .  1  .  . . 1 1 1 . 2 . . 1 . 3  .  . .  .  . 1 . . . .  1 . . . 1  . 1 .  .  . .  3 #> ZDHHC21       . .  . .  . 1 .  . .  . .  .  1  .  .  .  . . . . . . . . . . 1 .  1  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> ZDHHC23       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC24       . .  . .  1 . 1  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC3        . .  . .  . . .  . .  . 2  .  .  .  .  .  . 2 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC4        . .  . .  . . .  . .  . .  .  1  .  1  1  1 1 . . . 1 . . . . . .  .  . 1  .  . . . 1 1 .  . . . 2 .  . . .  .  . .  . #> ZDHHC5        1 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC6        . 2  . .  . . .  . .  . .  1  .  .  1  .  1 . 1 . . 1 . . 2 . 2 .  .  . .  .  1 . 1 2 1 .  2 . 1 . .  . . 1  .  . 1  . #> ZDHHC7        . .  . .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  1 .  . #> ZDHHC8        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC9        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 2 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZER1          . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZFAND1        1 .  . .  . . .  . 1  . .  .  .  .  2  .  1 . . 1 1 1 . . . . 1 .  .  . 2  1  . . . . . .  . . . . .  . . .  1  . .  . #> ZFAND2A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZFAND2B       . 1  . .  . . .  1 .  . .  2  .  .  .  .  . . . . . . . 1 . . . .  1  . .  .  1 . . . . .  2 . . . .  . . .  .  1 1  . #> ZFAND3        . 3  . .  2 . .  . .  . 1  1  .  .  1  1  . 1 1 2 1 1 2 . . . . .  .  . .  1  . 2 . . . .  2 . 1 . .  . . .  1  . 1  . #> ZFAND4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFAND5        . .  4 1  1 . 2  2 1  . .  4  1  2  1  .  1 1 1 . . . 1 2 . 2 1 .  1  . 1  3  . 1 . . 2 4  3 1 1 2 3  2 . .  2  2 .  4 #> ZFAND6        1 1  2 1  3 2 3  . .  1 3  3  2  .  1  1  . 1 3 2 2 2 2 1 2 3 2 1  2  2 3  5  2 2 1 1 1 2  3 . 2 3 3  2 . 1  .  2 4  2 #> ZFAT          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . 1  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZFC3H1        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZFHX2         . .  1 2  . . .  1 .  . .  1  .  1  .  .  . . . . . . . 1 . . . .  .  2 .  .  . . . . . .  . 2 . . .  . 1 .  .  . .  1 #> ZFHX3         3 .  1 .  . 1 .  . 1  . .  .  .  .  2  2  . . 2 1 . 1 . 1 . . . .  .  1 1  .  1 . . . . 2  1 . . . .  . 1 .  .  . .  . #> ZFHX4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP1          . 1  . 1  . . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . 1  . . . . .  . . .  .  1 .  . #> ZFP14         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP2          . .  . .  . . .  . .  2 .  .  .  .  .  .  . . . 1 . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZFP28         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP30         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . 1 . 1 . . .  .  . .  .  . 1 . . . .  . . . . .  1 1 .  1  . .  . #> ZFP36         . 1  . 1  1 . 1  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . 1 . 1  . . . . 1  . . .  .  . .  . #> ZFP36L1       . .  2 .  . . .  . .  . .  .  .  .  1  1  . . . 1 . . . . 1 . 1 .  .  . 2  .  . 1 . . . 3  . . . 3 1  . . .  .  . .  1 #> ZFP36L2       . .  . .  1 . .  . .  1 .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFP37         . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZFP41         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP57         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP62         1 .  1 1  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . 1 1 .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZFP64         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP82         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP90         . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . 2 . 1 . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> ZFP91         . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP91-CNTF    . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP92         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPL1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . 2 . .  .  . .  1  . . . . 1 .  . 1 . . .  . . .  .  . .  2 #> ZFPM2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFR           . .  3 2  . . .  4 1  2 .  .  1  1  .  .  . 1 . 1 . . 5 1 . 1 1 2  1  1 4  .  . 1 . 1 . .  3 1 . 3 .  1 . 1  2  . 1  1 #> ZFR2          . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFX           . .  . .  . . .  . .  . .  .  1  .  .  .  . . . 1 . . . . . . . .  .  2 .  .  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZFYVE1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFYVE19       2 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  1  . .  1  . . . . . .  1 . . . 1  1 . .  1  . .  1 #> ZFYVE21       . .  . 1  . . 1  2 1  . .  .  1  2  2  .  . 1 . . . 1 1 2 1 . . 1  1  . 1  .  . 1 . . . .  2 1 1 1 .  . . 1  .  . .  . #> ZFYVE26       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFYVE27       1 .  1 .  1 . 2  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . 1 .  1  1 .  . #> ZFYVE9        1 .  . .  . . .  1 .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZG16          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZG16B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGLP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGPAT         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1-C8orf76  1 1  1 .  . . .  3 .  . .  .  .  .  1  1  1 . . 1 . 1 . 1 . . 1 1  .  . .  .  . 1 . . . .  2 . 1 1 1  . . .  1  . 1  . #> ZHX2          . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> ZHX3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZIK1          . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN1       . .  1 .  . . 1  1 .  1 .  .  1  .  1  .  . . . 1 . 1 . 1 . . 1 1  .  . .  1  1 1 . . . .  1 . . . .  . . .  .  3 .  . #> ZKSCAN2       . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN4       . .  . 1  . . .  . .  . 1  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  1 1  .  2 . . . . .  1 . 1 . 2  . . .  1  . .  . #> ZKSCAN5       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZKSCAN7       . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN8       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT2         4 2  1 2  2 2 1  . .  1 .  .  .  2  1  2  1 2 1 . . . 1 . 2 1 1 .  2  1 3  2  2 . . 3 1 1  1 . 1 2 .  2 . .  2  1 2  2 #> ZMAT3         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT5         . 1  . .  1 . .  1 1  . 2  .  .  1  .  1  1 . . . . . 2 . 1 . 1 .  1  1 .  1  1 . 1 3 1 1  1 . 1 1 .  . . .  .  . .  2 #> ZMIZ1         1 .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . 1 . . . .  . . . 2 .  . . 1  .  . 2  . #> ZMIZ2         . 2  . 1  . 1 1  . .  . .  .  .  1  1  1  . 2 . 1 . . . . . 1 . .  .  . .  .  . 1 . 2 1 .  . . . . .  . . .  .  1 .  . #> ZMPSTE24      . .  1 .  . . .  1 2  . .  .  1  .  1  .  . . . . . . 1 . . . . .  .  . 1  .  . 1 . . 1 .  1 . . . .  . 2 .  .  1 .  . #> ZMYM1         . .  . .  . 1 .  1 .  . 1  .  .  .  .  .  1 1 . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM2         . 1  . .  . . .  2 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . 2  . #> ZMYM3         . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM4         . .  1 .  . 1 .  1 .  . .  .  1  .  .  2  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . 1  . . . 1 1  . . .  .  . .  . #> ZMYM5         . .  1 .  . . .  . .  . .  .  .  2  1  1  1 . 1 . . . . . . . 1 .  .  1 .  1  . . . . . .  . . 1 . 3  1 . .  .  1 .  . #> ZMYM6         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND11       . .  1 1  . 2 1  1 .  2 .  1  .  .  .  .  2 . 1 . . . 4 3 . 1 . .  2  1 .  1  . 1 . 1 . 1  2 . . . .  1 . 2  .  . .  . #> ZMYND12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND19       . .  . 1  1 . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZMYND8        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . 1 1  1 . .  1  1 .  . #> ZNF106        . 1  2 .  . . .  1 1  . .  .  .  .  .  .  1 1 . . . 1 1 1 . . 1 .  .  . .  1  . . . 1 1 .  . 1 . . .  . . .  .  . .  . #> ZNF112        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF12         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF121        . .  . .  . . .  . .  . 1  .  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF124        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF131        . .  1 1  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . .  . #> ZNF142        . .  . .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF143        2 .  . .  . . .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  2 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF146        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF148        . .  . 2  1 . .  1 1  . .  .  .  1  .  1  1 2 . . . . . . 1 1 . .  .  . .  1  . 1 . . . .  . . . . .  2 . .  1  . .  . #> ZNF160        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF169        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF174        . .  . .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  . #> ZNF18         . .  . .  . 1 1  . .  . .  .  1  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF180        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . 1 .  .  . .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZNF182        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF185        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF189        . .  . .  . . .  . .  . 2  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF195        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF200        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF202        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF205        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF207        . 1  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . 1 .  . . . . .  . 1 .  1  . .  . #> ZNF212        . 1  . .  . . 1  . .  . .  .  .  .  1  .  . 1 . 1 . . 1 . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF213        1 .  . .  2 1 .  . .  . .  .  .  .  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF217        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF219        2 .  1 .  . 1 .  . 1  . .  .  .  .  .  .  . . . . 1 . . 2 1 1 . .  .  . .  4  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZNF22         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF226        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF23         . 1  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . 1 . 1 . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> ZNF233        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . 1  .  . .  . #> ZNF236        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  1 . .  .  . .  . #> ZNF239        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF24         1 .  1 .  1 . .  . .  1 1  .  .  .  1  .  1 . . 1 . . . . . 1 . .  .  . .  2  . . . . . 1  . . . . .  . . 1  .  1 .  2 #> ZNF248        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF251        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF260        . .  . .  . . .  . .  . .  1  .  .  .  1  1 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF263        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . 1 1 . .  . . . . 2  . 1 .  1  . .  2 #> ZNF266        . .  . 1  . . 1  2 2  . .  .  .  .  1  .  . 1 . . . . 1 . . . . .  .  . 1  2  . . . 1 . .  . . . . .  . . .  1  . .  2 #> ZNF274        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 2 .  . . .  .  1 .  . #> ZNF276        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZNF277        1 .  1 .  2 . .  . .  . .  .  .  .  2  .  . . . . . . . . 1 . . .  1  . .  2  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF280B       . .  . 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  1 . 1 . . .  . . . . .  1 . 1  .  . .  . #> ZNF280C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> ZNF280D       . 1  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 . . 1  1 1 .  .  . .  . #> ZNF281        . .  . .  . . .  2 .  . .  .  .  .  2  .  . . . . . 1 . 3 . . . .  .  . .  .  . . . . . 1  . . . . .  1 . 2  .  . .  . #> ZNF282        . .  3 .  2 . .  . .  . .  .  .  .  .  .  . 1 . . 1 . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF286A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF287        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF292        . 2  . .  . 1 .  1 .  1 .  1  2  1  1  .  . . 1 1 . 2 . . . . . .  1  1 2  2  . 1 1 . 2 .  . . . 1 .  . . 1  1  1 .  1 #> ZNF296        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF316        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> ZNF317        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . .  . #> ZNF318        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF319        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  1 #> ZNF32         3 .  4 1  . . .  1 .  1 .  2  1  .  .  1  2 4 2 . . . . 2 . 1 2 1  1  . 3  .  . 1 . 2 . 1  . . . 3 .  . . .  .  1 .  1 #> ZNF322        . .  1 .  . 1 1  . 1  . .  .  .  .  1  .  . . 1 . . 2 . 1 . . . .  .  . .  .  1 . . . 1 .  1 1 . . .  . . .  .  . .  1 #> ZNF324        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF324B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF326        1 .  . .  . 1 .  . .  . 1  .  .  .  .  .  . 1 1 . . . . . 2 . . .  .  . 1  1  1 . . . 1 .  . . . . .  1 . .  2  . .  1 #> ZNF329        . 1  . .  . . 1  1 .  . 1  .  1  .  .  1  . 3 . . . 1 2 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  1 .  . #> ZNF330        . 1  . .  1 . .  2 .  . .  1  1  .  .  .  . . . . . . 1 2 . . . .  .  . .  .  . . . 1 . 1  . . . . 2  1 . .  .  . .  . #> ZNF334        . .  . .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF335        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF337        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF34         2 .  2 .  . 1 .  1 1  . 1  .  .  3  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . . .  3 . 1 . 1  1 1 .  1  1 .  . #> ZNF341        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF345        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF346        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF354A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ZNF354B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF354C       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZNF358        . .  . .  . 1 .  . .  . .  1  .  .  .  .  . . . . 1 1 . . . . . 1  1  . 2  1  . . . . 2 .  4 . . . 1  1 . .  .  1 .  . #> ZNF362        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF365        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF367        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF382        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF383        . .  2 .  . 1 .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZNF384        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  1 #> ZNF385A       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF385B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF385C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF394        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF395        . .  . .  1 . .  . .  . .  1  .  .  2  .  . . . 1 . . . . . . 1 .  .  2 1  .  . 1 . . . 1  . 1 . 1 .  . . 1  .  . .  . #> ZNF397        . .  . 1  . . .  . .  . .  .  .  2  .  2  . . . . . . . . 1 . 1 .  .  . 1  1  . . . 1 . .  . . . . .  . . .  1  . .  . #> ZNF398        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . 1 . . . . . . . .  .  . .  1  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF408        . .  . .  . . .  . .  . 1  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF410        . 1  . .  . 2 .  1 1  . .  2  1  .  .  .  1 . . . 2 . . . 1 1 . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF414        . .  1 2  . . .  . .  . 1  .  .  .  1  2  1 . 2 . . . . . 1 . . .  .  . .  .  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF418        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF419        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF420        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> ZNF423        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF426        . .  . .  . . .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> ZNF428        3 .  . .  . 1 .  . .  1 .  .  .  .  .  3  2 . . . . . . 1 . 1 . .  .  2 .  1  . 1 . 1 . 1  . . . . .  1 1 .  .  1 .  . #> ZNF429        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF433        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF436        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  1 .  . #> ZNF438        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF439        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF440        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF444        2 .  1 2  . . .  . .  . .  .  .  .  .  .  1 . 1 . . . . . . 2 1 .  1  . .  2  1 1 . . . .  1 . . . .  1 1 .  .  . 2  . #> ZNF445        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF446        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF449        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . 1 .  . . . . .  . . .  .  . .  . #> ZNF45         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF451        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZNF454        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF462        . .  . .  1 . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF467        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . 1  .  . 1 1 . . .  . . 1 . .  . . .  .  . .  . #> ZNF473        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF48         . .  2 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . 1 . 3 .  1 . . . 1  . . .  .  2 .  . #> ZNF480        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF483        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF487        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF491        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF496        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF503        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  1 . .  1  . .  . #> ZNF507        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511        . .  1 .  . 1 .  . .  1 1  .  1  .  2  .  . . . . . . 1 . 1 . . 1  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511-PRAP1  . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF512        . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 1 . . . . .  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  2 #> ZNF512B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF513        . 1  . .  . . .  . .  . .  1  .  .  .  .  1 . . 2 . . . . 2 . . .  .  2 .  1  . . . . 1 .  1 . . . .  . . .  1  1 .  . #> ZNF516        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . 1 . . 1 . 1 . .  1  . .  .  . . . 2 1 .  1 1 . . .  . . .  .  1 1  . #> ZNF517        . .  2 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF518A       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF518B       . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF521        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF526        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF532        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF536        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF541        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF551        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF552        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF554        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF555        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF556        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF558        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF560        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF561        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF562        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF566        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF569        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF570        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF574        1 .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 2  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF575        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF583        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . . .  . . .  .  . .  . #> ZNF586        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF587B       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF592        . .  . .  1 . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF593        1 .  . .  1 . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF597        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF598        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . 1 2 . 1  . . . . .  . . 1  .  . .  . #> ZNF605        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF606        . .  . .  . . .  . .  . .  1  .  .  1  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  1  . .  . #> ZNF608        . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  1 .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF609        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF610        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF618        1 .  . 1  . . .  . 1  . .  .  .  .  2  .  . . . . 1 . . . . . 1 .  .  1 .  .  . . 1 . . 1  1 . . . .  . . .  .  . .  . #> ZNF622        1 .  . .  1 . 1  2 1  . 2  .  1  1  1  1  1 . . . . . . . 1 . . 1  .  . 2  1  . 2 . . . .  . . 1 . 2  . . 1  .  2 1  . #> ZNF623        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF627        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF628        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . . .  .  . 1  . #> ZNF629        . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . 1 .  . . .  .  1 .  . #> ZNF638        2 .  . .  . . 1  . 2  . .  3  1  1  .  .  1 . . 1 . . . . . . . .  .  . 2  .  1 . . . . .  1 1 . . .  . . .  .  1 .  1 #> ZNF639        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  . .  .  . . . 1 . .  1 . . . .  1 . .  .  1 1  . #> ZNF641        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF644        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF646        1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . 1 1 2 . . .  .  . 1  .  . . . . . .  . . . . .  1 . .  .  . .  2 #> ZNF652        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF653        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF654        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF655        1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . 1 . .  . . . 1 .  . . 1  .  1 .  . #> ZNF664        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF665        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF667        . .  . .  . . .  2 .  . .  .  .  1  1  1  1 . . 1 . . . . . . . 1  .  1 .  .  . . . 2 . .  . 2 . . .  . . .  1  . .  . #> ZNF668        1 .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . 1 . .  .  1 .  1  . . . 1 . .  1 . . . .  . . 1  .  . 1  . #> ZNF669        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF672        . 1  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . . 1 . . 1 . .  .  1 .  .  1 . 1 . . 1  . . . . .  . . .  1  . .  . #> ZNF674        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF687        . .  . .  1 . .  1 .  . .  .  1  .  .  .  . 1 . . . . . . . . . .  .  . .  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> ZNF688        2 .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZNF689        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF691        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF692        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . 1 .  . . .  .  . 2  . #> ZNF697        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF7          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . 1 .  1 . . . .  . . .  .  . .  . #> ZNF700        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF703        . 2  . .  3 . 1  . .  . .  1  1  .  1  .  . 1 . . . 1 . 1 1 . . .  1  . 1  2  2 1 . . 1 .  . . . . 1  1 . 1  .  . .  1 #> ZNF704        . .  1 .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . 1  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZNF705A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705E       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705G       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF706        5 4  5 1  3 7 .  3 1  . 4  1  2  .  3 18  2 . 3 2 1 2 . 1 3 . 2 1  2  5 2  2  4 2 1 2 3 3  1 . . 4 2  3 1 2  3  1 2  5 #> ZNF711        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF713        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . . . . . .  1  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF721        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF727        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF736        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF740        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZNF746        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . 1 . . . 1 . .  .  . .  .  . . . . 1 .  1 1 . . .  . . .  .  . .  . #> ZNF747        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF749        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF750        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF76         . .  . .  . . .  . .  . .  .  .  .  .  .  . . 2 . . . . . . . 1 .  .  1 .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF763        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF764        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF768        . .  1 1  . . 1  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 1 . .  . . .  .  . .  . #> ZNF770        . .  . .  . . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF771        2 .  1 1  . 1 .  . 1  . .  .  .  .  1  .  1 . . . . . . . . . . 3  .  . .  .  . 1 . . 1 1  . 2 1 . 1  . . .  .  1 1  2 #> ZNF777        . .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF778        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF780A       . .  . .  . . .  . .  1 .  .  1  .  .  .  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ZNF781        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF784        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF786        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF787        . .  . 1  2 1 .  . .  . 1  1  1  .  .  .  1 . . . . . 1 . 1 . . .  .  . .  .  . . . . . 2  1 . . . .  . . 1  .  . 1  . #> ZNF8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF800        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF804A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF821        1 1  1 .  . . .  . .  . .  .  1  2  .  1  . . 1 . 1 . . . . 1 . .  .  . 1  .  . . . . . .  . . . . 2  1 . 1  1  . .  . #> ZNF827        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . 1 . . .  . . . . .  . . .  1  . 1  . #> ZNF830        1 1  1 .  2 1 .  . .  . .  1  .  .  .  1  . 1 . 1 . 1 1 . 1 2 . .  .  . .  1  1 1 . . . .  2 . . . 1  . . .  2  . 1  1 #> ZNF839        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF845        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . 1  1  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF850        . .  . 1  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF879        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  2  . .  . #> ZNF891        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNFX1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . 2 . .  . . 1  .  . .  . #> ZNHIT1        1 1  3 1  2 1 .  1 .  2 .  2  1  2  .  1  1 3 . 2 . 1 1 2 . . 2 .  4  . 2  .  1 . 2 5 . 2  . 1 3 1 .  . 3 2  .  3 .  3 #> ZNHIT2        . .  1 1  . 1 .  . .  . 1  .  1  .  .  2  1 . 1 . . 1 . 1 . . 2 1  .  . .  .  . . 1 . . .  . 1 1 . .  . 1 1  .  . 1  . #> ZNHIT3        1 1  2 .  1 . .  1 .  . .  .  .  .  1  1  . 1 . . . . 1 . 2 . . 1  1  . .  1  . . . . . .  2 . . . .  1 . 1  .  1 1  . #> ZNHIT6        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNRF1         . 1  . .  . 1 1  1 .  . .  1  .  .  .  .  . 1 . . 2 . 1 . . 1 . .  1  . .  3  . . . . . .  1 1 1 . .  . . .  .  . .  . #> ZNRF2         . .  . .  1 . .  . .  . .  .  .  .  3  .  . . . . . 1 . . . . . .  1  1 1  .  . . . . 1 .  . . . . 1  . . 1  .  1 1  . #> ZNRF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . 1 . .  . 1 .  .  . .  . #> ZPBP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPBP2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPR1          1 .  . 1  . 1 .  . .  . 1  .  .  .  1  .  . . . 1 . . 1 . . 1 1 1  .  . .  1  . . . . . 1  . . 1 . 1  . 1 .  1  . .  . #> ZRANB1        . 1  1 .  . . .  1 .  1 1  2  1  .  1  1  . . . . 1 2 2 1 . 1 . 1  .  . .  .  1 . . . 1 .  . . . . .  1 . 1  1  . .  1 #> ZRANB2        . .  2 1  . . 1  1 1  1 .  .  .  2  .  2  1 . 1 . . 1 1 1 1 . . .  .  2 2  .  1 1 . . . .  1 . . . .  . . 1  1  1 2  1 #> ZRANB3        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZRSR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . 1 . 1  . . .  .  1 .  . #> ZSCAN18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN2        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  1 . . . .  . 1 .  .  . .  . #> ZSCAN20       . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN21       . .  1 1  . . .  . .  . .  .  1  .  .  .  . . 1 . 2 . . . 1 . . .  .  . .  .  . . . . . 1  2 1 . 1 .  . 1 .  .  . 1  . #> ZSCAN22       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . 1 . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN25       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN26       . .  2 .  . . .  1 .  . .  .  .  .  .  1  . . 1 . 1 . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . 1 .  2  . 1  . #> ZSCAN29       . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZSWIM1        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . 1 . 1 1  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM3        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM4        . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM5        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM6        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM7        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . . . 1 .  1  . 1  .  . 1 . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM8        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . 1 . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZW10          . .  . .  . . .  . .  . .  .  1  .  .  1  . . 1 . 1 . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZWILCH        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . 1 .  . . .  .  . .  . #> ZWINT         1 .  . 2  1 1 .  2 3  1 1  .  .  3  1  4  3 . . 1 . 2 . 3 1 . 2 3  2  6 .  1  3 2 7 . . .  . 1 2 . 1  1 . 1  1  . 1  1 #> ZXDC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZYG11B        . .  2 1  . . .  . .  . .  .  1  1  .  .  . . . . . . . . 1 . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZYX           . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZZEF1         . .  . .  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> ZZZ3          1 .  1 .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . 1 . . . .  1  1 .  .  . . . . . 1  . 1 . . .  . . .  .  2 .  . #>                          #> UBR3         .  1 ...... #> UBR4         1  . ...... #> UBR5         1  . ...... #> UBR7         .  . ...... #> UBTD1        .  . ...... #> UBTD2        .  . ...... #> UBTF         .  1 ...... #> UBXN1        4  . ...... #> UBXN10       .  . ...... #> UBXN11       .  . ...... #> UBXN2A       .  . ...... #> UBXN2B       .  . ...... #> UBXN4        1  3 ...... #> UBXN6        .  1 ...... #> UBXN7        .  1 ...... #> UBXN8        .  . ...... #> UCHL1        1  1 ...... #> UCHL3        .  . ...... #> UCHL5        .  . ...... #> UCK1         .  . ...... #> UCK2         1  . ...... #> UCKL1        .  . ...... #> UCN3         .  . ...... #> UCP2         .  . ...... #> UEVLD        .  . ...... #> UFC1         .  5 ...... #> UFL1         .  . ...... #> UFM1         1  3 ...... #> UFSP1        .  . ...... #> UFSP2        .  . ...... #> UGCG         1  . ...... #> UGDH         .  . ...... #> UGGT1        .  2 ...... #> UGGT2        .  . ...... #> UGP2         .  . ...... #> UGT1A6       .  . ...... #> UGT8         .  . ...... #> UHMK1        .  . ...... #> UHRF1        .  . ...... #> UHRF1BP1     .  . ...... #> UHRF1BP1L    .  . ...... #> UHRF2        .  1 ...... #> UIMC1        .  1 ...... #> ULK1         .  . ...... #> ULK2         .  . ...... #> ULK3         .  . ...... #> ULK4         .  . ...... #> UMODL1       .  . ...... #> UMPS         .  . ...... #> UNC119       .  1 ...... #> UNC119B      .  . ...... #> UNC13A       .  . ...... #> UNC13B       .  . ...... #> UNC13C       .  . ...... #> UNC13D       .  . ...... #> UNC45A       .  . ...... #> UNC50        .  1 ...... #> UNC5A        .  . ...... #> UNC5B        .  . ...... #> UNC5C        .  . ...... #> UNC5D        .  . ...... #> UNC79        .  . ...... #> UNC80        .  . ...... #> UNC93B1      .  . ...... #> UNG          .  . ...... #> UNK          .  . ...... #> UNKL         .  . ...... #> UPB1         .  . ...... #> UPF1         .  2 ...... #> UPF2         .  2 ...... #> UPF3A        .  . ...... #> UPF3B        .  1 ...... #> UPK1A        .  . ...... #> UPK1B        .  . ...... #> UPK3A        .  . ...... #> UPK3B        .  . ...... #> UPK3BL1      .  . ...... #> UPK3BL2      .  . ...... #> UPP1         .  . ...... #> UPP2         .  . ...... #> UPRT         .  . ...... #> UQCC1        .  . ...... #> UQCC2        2 12 ...... #> UQCC3        1  2 ...... #> UQCR10       3  2 ...... #> UQCR11       1  7 ...... #> UQCRB        3  7 ...... #> UQCRC1       2  . ...... #> UQCRC2       1  . ...... #> UQCRFS1      .  1 ...... #> UQCRH        5  5 ...... #> UQCRHL       5  5 ...... #> UQCRQ        .  4 ...... #> URB1         .  . ...... #> URB2         .  . ...... #> URGCP        .  . ...... #> URI1         .  . ...... #> URM1         2  . ...... #> UROD         .  . ...... #> UROS         1  . ...... #> USB1         .  . ...... #> USE1         3  . ...... #> USF1         .  . ...... #> USF2         .  . ...... #> USF3         .  . ...... #> USH1C        .  . ...... #> USH1G        .  . ...... #> USH2A        .  . ...... #> USHBP1       .  . ...... #> USO1         .  1 ...... #> USP1         .  . ...... #> USP10        .  . ...... #> USP11        .  . ...... #> USP12        .  . ...... #> USP13        .  . ...... #> USP14        .  . ...... #> USP15        .  . ...... #> USP16        .  . ...... #> USP18        .  . ...... #> USP19        .  . ...... #> USP2         .  . ...... #> USP20        .  . ...... #> USP21        .  . ...... #> USP22        3  1 ...... #> USP24        .  . ...... #> USP25        .  . ...... #> USP27X       .  . ...... #> USP28        .  . ...... #> USP29        .  . ...... #> USP3         .  . ...... #> USP30        .  . ...... #> USP31        .  . ...... #> USP32        .  . ...... #> USP33        1  . ...... #> USP34        .  1 ...... #> USP35        .  1 ...... #> USP36        .  . ...... #> USP37        .  . ...... #> USP38        .  . ...... #> USP39        1  . ...... #> USP4         2  . ...... #> USP40        1  . ...... #> USP41        .  . ...... #> USP42        .  . ...... #> USP43        .  . ...... #> USP44        .  . ...... #> USP45        .  . ...... #> USP46        .  . ...... #> USP47        .  . ...... #> USP48        .  . ...... #> USP49        .  . ...... #> USP5         .  1 ...... #> USP50        .  . ...... #> USP51        .  . ...... #> USP53        1  . ...... #> USP54        .  1 ...... #> USP6         .  . ...... #> USP6NL       .  . ...... #> USP7         .  1 ...... #> USP8         .  . ...... #> USP9X        .  . ...... #> USPL1        1  1 ...... #> UTP14A       .  . ...... #> UTP14C       .  . ...... #> UTP15        .  . ...... #> UTP18        .  1 ...... #> UTP20        .  . ...... #> UTP23        .  . ...... #> UTP3         1  . ...... #> UTP6         .  . ...... #> UTRN         .  . ...... #> UTY          .  . ...... #> UVRAG        .  . ...... #> UVSSA        .  . ...... #> UXS1         .  1 ...... #> UXT          .  . ...... #> VAC14        .  . ...... #> VAMP1        .  . ...... #> VAMP2        .  . ...... #> VAMP3        .  . ...... #> VAMP4        .  . ...... #> VAMP5        .  . ...... #> VAMP8        2  . ...... #> VANGL1       .  . ...... #> VANGL2       .  . ...... #> VAPA         .  3 ...... #> VAPB         2  3 ...... #> VARS1        .  . ...... #> VARS2        .  . ...... #> VASH1        .  . ...... #> VASH2        .  . ...... #> VASP         .  . ...... #> VAT1         1  . ...... #> VAT1L        .  1 ...... #> VAV1         .  . ...... #> VAV2         .  . ...... #> VAV3         .  . ...... #> VBP1         .  . ...... #> VCAM1        .  . ...... #> VCAN         .  . ...... #> VCL          .  . ...... #> VCP          2  3 ...... #> VCPIP1       .  . ...... #> VCPKMT       .  . ...... #> VDAC1        1  1 ...... #> VDAC2        3  2 ...... #> VDAC3        5  . ...... #> VDR          .  . ...... #> VEGFA        .  . ...... #> VEGFB        .  . ...... #> VEGFC        .  . ...... #> VEPH1        .  . ...... #> VEZF1        1  . ...... #> VEZT         .  . ...... #> VGF          .  . ...... #> VGLL1        .  . ...... #> VGLL2        .  . ...... #> VGLL4        .  1 ...... #> VHL          .  . ...... #> VHLL         .  . ...... #> VIL1         .  . ...... #> VILL         .  . ...... #> VIM          .  . ...... #> VIPAS39      1  . ...... #> VIPR1        .  . ...... #> VIPR2        .  . ...... #> VKORC1       .  . ...... #> VKORC1L1     .  . ...... #> VLDLR        .  1 ...... #> VMA21        .  . ...... #> VMAC         1  . ...... #> VMP1         2  . ...... #> VN1R5        .  . ...... #> VNN1         .  . ...... #> VOPP1        .  . ...... #> VPREB1       .  . ...... #> VPS11        .  . ...... #> VPS13A       .  . ...... #> VPS13B       .  . ...... #> VPS13C       .  1 ...... #> VPS13D       .  1 ...... #> VPS16        .  . ...... #> VPS18        .  . ...... #> VPS25        .  . ...... #> VPS26A       .  . ...... #> VPS26B       .  . ...... #> VPS29        2  1 ...... #> VPS33A       .  . ...... #> VPS33B       .  . ...... #> VPS35        .  2 ...... #> VPS36        .  1 ...... #> VPS37A       1  . ...... #> VPS37B       .  1 ...... #> VPS37C       .  . ...... #> VPS37D       .  . ...... #> VPS39        .  . ...... #> VPS41        .  . ...... #> VPS45        .  . ...... #> VPS4A        .  . ...... #> VPS4B        .  1 ...... #> VPS50        .  . ...... #> VPS51        .  . ...... #> VPS52        .  . ...... #> VPS53        .  . ...... #> VPS54        .  . ...... #> VPS72        3  3 ...... #> VPS8         .  . ...... #> VPS9D1       1  . ...... #> VRK1         .  . ...... #> VRK2         .  . ...... #> VRK3         .  . ...... #> VSIG1        .  . ...... #> VSIG10       .  . ...... #> VSIG10L      .  . ...... #> VSIG2        .  . ...... #> VSIG8        .  . ...... #> VSIR         .  . ...... #> VSNL1        .  . ...... #> VSTM2A       .  . ...... #> VSTM2B       .  . ...... #> VSTM2L       .  . ...... #> VSTM4        .  . ...... #> VSTM5        .  . ...... #> VTA1         .  . ...... #> VTCN1        .  . ...... #> VTI1A        .  . ...... #> VTI1B        .  1 ...... #> VTN          .  . ...... #> VWA1         .  . ...... #> VWA2         .  . ...... #> VWA3B        .  . ...... #> VWA5A        .  . ...... #> VWA5B1       .  . ...... #> VWA5B2       1  . ...... #> VWA8         .  . ...... #> VWC2         .  . ...... #> VWCE         .  . ...... #> WAC          .  . ...... #> WAPL         .  . ...... #> WARS1        .  . ...... #> WARS2        .  . ...... #> WASF1        .  . ...... #> WASF2        .  . ...... #> WASF3        .  . ...... #> WASL         .  1 ...... #> WBP1         1  1 ...... #> WBP1L        1  . ...... #> WBP2         1  . ...... #> WBP4         .  . ...... #> WDFY1        .  . ...... #> WDFY3        .  1 ...... #> WDHD1        .  . ...... #> WDPCP        .  . ...... #> WDR1         .  1 ...... #> WDR11        .  . ...... #> WDR12        1  . ...... #> WDR13        .  . ...... #> WDR18        .  . ...... #> WDR19        .  . ...... #> WDR20        .  . ...... #> WDR24        .  . ...... #> WDR25        .  . ...... #> WDR26        .  . ...... #> WDR3         .  . ...... #> WDR31        .  . ...... #> WDR33        .  . ...... #> WDR35        .  . ...... #> WDR36        .  . ...... #> WDR37        .  . ...... #> WDR4         .  . ...... #> WDR41        .  . ...... #> WDR43        .  . ...... #> WDR44        .  . ...... #> WDR45        .  . ...... #> WDR45B       .  . ...... #> WDR46        .  . ...... #> WDR47        .  . ...... #> WDR48        .  . ...... #> WDR49        .  . ...... #> WDR5         .  . ...... #> WDR53        .  . ...... #> WDR54        .  . ...... #> WDR55        .  . ...... #> WDR59        .  . ...... #> WDR5B        .  . ...... #> WDR6         .  1 ...... #> WDR61        2  . ...... #> WDR62        .  . ...... #> WDR7         .  . ...... #> WDR70        .  . ...... #> WDR72        .  . ...... #> WDR73        .  . ...... #> WDR74        1  . ...... #> WDR75        .  . ...... #> WDR76        .  . ...... #> WDR77        .  . ...... #> WDR81        .  . ...... #> WDR82        .  1 ...... #> WDR83        .  . ...... #> WDR83OS      .  1 ...... #> WDR86        .  . ...... #> WDR89        .  4 ...... #> WDR90        .  . ...... #> WDR91        .  . ...... #> WDR92        .  1 ...... #> WDR93        .  . ...... #> WDSUB1       .  . ...... #> WDTC1        .  2 ...... #> WEE1         .  . ...... #> WEE2         .  . ...... #> WFDC10A      .  . ...... #> WFDC13       .  . ...... #> WFDC2        2  . ...... #> WFDC3        .  . ...... #> WFDC9        .  . ...... #> WFIKKN1      .  . ...... #> WFIKKN2      .  . ...... #> WFS1         .  1 ...... #> WHAMM        .  . ...... #> WHRN         .  . ...... #> WIF1         .  . ...... #> WIPF1        .  . ...... #> WIPF2        .  . ...... #> WIPF3        .  . ...... #> WIPI1        .  . ...... #> WIPI2        .  3 ...... #> WIZ          .  . ...... #> WLS          .  . ...... #> WNK1         .  . ...... #> WNK2         .  . ...... #> WNK3         .  . ...... #> WNK4         .  . ...... #> WNT10B       .  . ...... #> WNT11        .  . ...... #> WNT3         .  . ...... #> WNT4         .  . ...... #> WNT5A        .  . ...... #> WNT5B        .  . ...... #> WNT6         .  . ...... #> WNT7B        .  . ...... #> WNT9A        .  . ...... #> WNT9B        .  . ...... #> WRAP53       .  . ...... #> WRAP73       .  . ...... #> WRN          .  . ...... #> WRNIP1       .  . ...... #> WSB1         1  1 ...... #> WSB2         2  . ...... #> WSCD1        .  . ...... #> WTAP         .  . ...... #> WTIP         .  . ...... #> WWC1         .  . ...... #> WWC2         .  . ...... #> WWOX         .  . ...... #> WWP1         .  . ...... #> WWP2         .  . ...... #> WWTR1        .  . ...... #> XAB2         .  . ...... #> XAF1         .  . ...... #> XBP1         .  3 ...... #> XDH          .  . ...... #> XIAP         .  . ...... #> XK           .  . ...... #> XKR5         .  . ...... #> XKR6         .  . ...... #> XKR7         .  . ...... #> XKR8         .  . ...... #> XKR9         .  . ...... #> XPA          .  . ...... #> XPC          .  . ...... #> XPNPEP1      .  . ...... #> XPNPEP2      .  . ...... #> XPNPEP3      .  . ...... #> XPO1         .  1 ...... #> XPO4         .  . ...... #> XPO5         .  . ...... #> XPO6         .  . ...... #> XPO7         .  . ...... #> XPOT         .  . ...... #> XPR1         .  1 ...... #> XRCC1        .  . ...... #> XRCC2        .  . ...... #> XRCC3        .  . ...... #> XRCC4        .  . ...... #> XRCC5        .  1 ...... #> XRCC6        .  . ...... #> XRN1         1  . ...... #> XRN2         2  . ...... #> XRRA1        .  . ...... #> XXYLT1       .  . ...... #> XYLB         .  . ...... #> XYLT1        .  . ...... #> XYLT2        .  . ...... #> YAE1         .  . ...... #> YAF2         1  . ...... #> YAP1         .  . ...... #> YARS1        .  . ...... #> YARS2        .  . ...... #> YBEY         .  . ...... #> YBX2         .  . ...... #> YBX3         .  . ...... #> YDJC         .  . ...... #> YEATS2       .  . ...... #> YEATS4       .  . ...... #> YES1         .  . ...... #> YIF1A        .  . ...... #> YIF1B        .  1 ...... #> YIPF1        .  1 ...... #> YIPF2        1  . ...... #> YIPF3        .  . ...... #> YIPF4        .  . ...... #> YIPF5        .  . ...... #> YIPF6        .  . ...... #> YKT6         1  1 ...... #> YLPM1        .  . ...... #> YME1L1       .  . ...... #> YOD1         .  . ...... #> YPEL1        .  . ...... #> YPEL2        .  . ...... #> YPEL3        3  1 ...... #> YPEL4        .  1 ...... #> YPEL5        .  . ...... #> YRDC         1  1 ...... #> YTHDC1       .  . ...... #> YTHDC2       .  . ...... #> YTHDF1       .  . ...... #> YTHDF2       .  . ...... #> YTHDF3       .  . ...... #> YWHAB        .  4 ...... #> YWHAE        9  9 ...... #> YWHAG        2  . ...... #> YWHAH        4  1 ...... #> YWHAQ        6  5 ...... #> YWHAZ        2  1 ...... #> YY1          2  1 ...... #> YY1AP1       .  . ...... #> Z82190.2     .  . ...... #> Z83844.1     .  . ...... #> Z84488.1     .  . ...... #> ZADH2        .  . ...... #> ZAP70        .  . ...... #> ZAR1         .  . ...... #> ZAR1L        .  . ...... #> ZBED3        .  . ...... #> ZBED4        .  1 ...... #> ZBED9        .  . ...... #> ZBP1         .  . ...... #> ZBTB1        .  . ...... #> ZBTB10       .  . ...... #> ZBTB11       .  . ...... #> ZBTB12       .  . ...... #> ZBTB14       .  . ...... #> ZBTB16       .  . ...... #> ZBTB17       .  . ...... #> ZBTB18       .  . ...... #> ZBTB2        .  . ...... #> ZBTB20       1  1 ...... #> ZBTB21       .  . ...... #> ZBTB24       .  1 ...... #> ZBTB25       1  . ...... #> ZBTB26       .  . ...... #> ZBTB3        .  . ...... #> ZBTB32       .  . ...... #> ZBTB33       1  . ...... #> ZBTB34       .  . ...... #> ZBTB37       .  . ...... #> ZBTB38       1  . ...... #> ZBTB39       .  . ...... #> ZBTB4        .  . ...... #> ZBTB40       .  . ...... #> ZBTB41       .  . ...... #> ZBTB42       .  . ...... #> ZBTB43       .  . ...... #> ZBTB44       .  . ...... #> ZBTB45       .  . ...... #> ZBTB46       .  . ...... #> ZBTB47       .  . ...... #> ZBTB48       .  . ...... #> ZBTB49       .  . ...... #> ZBTB5        .  . ...... #> ZBTB6        .  . ...... #> ZBTB7A       .  . ...... #> ZBTB7B       .  1 ...... #> ZBTB7C       .  1 ...... #> ZBTB8A       .  . ...... #> ZBTB8B       .  . ...... #> ZBTB8OS      .  . ...... #> ZC2HC1A      1  1 ...... #> ZC2HC1C      .  . ...... #> ZC3H10       .  . ...... #> ZC3H11A      .  . ...... #> ZC3H11B      .  . ...... #> ZC3H12A      .  . ...... #> ZC3H12B      .  . ...... #> ZC3H12C      .  . ...... #> ZC3H12D      .  . ...... #> ZC3H13       .  . ...... #> ZC3H14       2  . ...... #> ZC3H15       .  . ...... #> ZC3H18       .  . ...... #> ZC3H3        .  1 ...... #> ZC3H4        .  . ...... #> ZC3H6        .  . ...... #> ZC3H7A       .  . ...... #> ZC3H7B       1  1 ...... #> ZC3H8        .  . ...... #> ZC3HAV1      .  . ...... #> ZC3HAV1L     .  . ...... #> ZC3HC1       .  . ...... #> ZC4H2        .  . ...... #> ZCCHC10      .  . ...... #> ZCCHC12      3  . ...... #> ZCCHC14      .  . ...... #> ZCCHC17      .  . ...... #> ZCCHC18      3  . ...... #> ZCCHC2       .  1 ...... #> ZCCHC24      .  . ...... #> ZCCHC3       .  . ...... #> ZCCHC4       .  . ...... #> ZCCHC7       .  . ...... #> ZCCHC8       1  . ...... #> ZCCHC9       .  1 ...... #> ZCRB1        .  3 ...... #> ZCWPW1       .  . ...... #> ZDBF2        1  . ...... #> ZDHHC1       .  . ...... #> ZDHHC12      .  . ...... #> ZDHHC13      .  1 ...... #> ZDHHC14      .  . ...... #> ZDHHC15      .  . ...... #> ZDHHC16      .  . ...... #> ZDHHC17      .  . ...... #> ZDHHC18      .  . ...... #> ZDHHC2       .  . ...... #> ZDHHC20      .  1 ...... #> ZDHHC21      .  . ...... #> ZDHHC23      .  . ...... #> ZDHHC24      .  . ...... #> ZDHHC3       .  . ...... #> ZDHHC4       .  1 ...... #> ZDHHC5       .  . ...... #> ZDHHC6       .  . ...... #> ZDHHC7       .  . ...... #> ZDHHC8       .  . ...... #> ZDHHC9       .  . ...... #> ZEB1         .  . ...... #> ZEB2         .  . ...... #> ZER1         .  . ...... #> ZFAND1       .  . ...... #> ZFAND2A      .  . ...... #> ZFAND2B      .  . ...... #> ZFAND3       .  . ...... #> ZFAND4       .  . ...... #> ZFAND5       2  . ...... #> ZFAND6       4  . ...... #> ZFAT         .  . ...... #> ZFC3H1       .  . ...... #> ZFHX2        .  2 ...... #> ZFHX3        2  . ...... #> ZFHX4        .  . ...... #> ZFP1         1  . ...... #> ZFP14        .  1 ...... #> ZFP2         .  . ...... #> ZFP28        .  . ...... #> ZFP3         .  . ...... #> ZFP30        .  . ...... #> ZFP36        1  . ...... #> ZFP36L1      .  . ...... #> ZFP36L2      .  . ...... #> ZFP37        .  . ...... #> ZFP41        .  . ...... #> ZFP57        .  . ...... #> ZFP62        .  . ...... #> ZFP64        .  . ...... #> ZFP69        .  . ...... #> ZFP82        .  . ...... #> ZFP90        .  . ...... #> ZFP91        .  . ...... #> ZFP91-CNTF   .  . ...... #> ZFP92        .  . ...... #> ZFPL1        .  . ...... #> ZFPM1        .  . ...... #> ZFPM2        .  . ...... #> ZFR          .  1 ...... #> ZFR2         .  . ...... #> ZFX          .  . ...... #> ZFYVE1       .  . ...... #> ZFYVE19      .  . ...... #> ZFYVE21      .  . ...... #> ZFYVE26      .  . ...... #> ZFYVE27      .  . ...... #> ZFYVE9       .  . ...... #> ZG16         .  . ...... #> ZG16B        .  . ...... #> ZGLP1        .  . ...... #> ZGPAT        .  . ...... #> ZHX1         .  . ...... #> ZHX1-C8orf76 .  . ...... #> ZHX2         .  . ...... #> ZHX3         .  . ...... #> ZIK1         .  . ...... #> ZKSCAN1      .  . ...... #> ZKSCAN2      .  . ...... #> ZKSCAN4      .  . ...... #> ZKSCAN5      .  . ...... #> ZKSCAN7      .  . ...... #> ZKSCAN8      .  . ...... #> ZMAT1        .  . ...... #> ZMAT2        .  . ...... #> ZMAT3        .  . ...... #> ZMAT5        .  . ...... #> ZMIZ1        .  1 ...... #> ZMIZ2        1  1 ...... #> ZMPSTE24     1  . ...... #> ZMYM1        .  . ...... #> ZMYM2        .  . ...... #> ZMYM3        .  . ...... #> ZMYM4        .  . ...... #> ZMYM5        1  . ...... #> ZMYM6        .  . ...... #> ZMYND10      .  . ...... #> ZMYND11      .  . ...... #> ZMYND12      .  . ...... #> ZMYND19      .  . ...... #> ZMYND8       .  . ...... #> ZNF106       .  . ...... #> ZNF112       .  . ...... #> ZNF12        .  . ...... #> ZNF121       .  . ...... #> ZNF124       .  . ...... #> ZNF131       .  . ...... #> ZNF142       .  . ...... #> ZNF143       .  . ...... #> ZNF146       .  . ...... #> ZNF148       .  2 ...... #> ZNF160       .  . ...... #> ZNF169       .  . ...... #> ZNF174       .  . ...... #> ZNF18        .  . ...... #> ZNF180       .  . ...... #> ZNF182       .  . ...... #> ZNF185       .  . ...... #> ZNF189       .  . ...... #> ZNF195       .  . ...... #> ZNF2         .  . ...... #> ZNF20        .  . ...... #> ZNF200       .  . ...... #> ZNF202       .  . ...... #> ZNF205       1  . ...... #> ZNF207       .  . ...... #> ZNF212       .  . ...... #> ZNF213       .  . ...... #> ZNF217       .  . ...... #> ZNF219       .  . ...... #> ZNF22        .  . ...... #> ZNF226       .  . ...... #> ZNF23        .  . ...... #> ZNF233       .  . ...... #> ZNF236       .  . ...... #> ZNF239       .  . ...... #> ZNF24        .  . ...... #> ZNF248       .  . ...... #> ZNF25        .  . ...... #> ZNF251       .  . ...... #> ZNF260       2  1 ...... #> ZNF263       .  . ...... #> ZNF266       1  . ...... #> ZNF274       .  2 ...... #> ZNF276       .  . ...... #> ZNF277       .  . ...... #> ZNF280B      .  . ...... #> ZNF280C      .  . ...... #> ZNF280D      .  . ...... #> ZNF281       .  . ...... #> ZNF282       .  1 ...... #> ZNF286A      .  . ...... #> ZNF287       .  . ...... #> ZNF292       .  . ...... #> ZNF296       .  . ...... #> ZNF316       .  . ...... #> ZNF317       .  . ...... #> ZNF318       1  . ...... #> ZNF319       .  . ...... #> ZNF32        2  . ...... #> ZNF322       .  . ...... #> ZNF324       .  1 ...... #> ZNF324B      .  1 ...... #> ZNF326       .  . ...... #> ZNF329       .  . ...... #> ZNF330       .  . ...... #> ZNF334       .  . ...... #> ZNF335       .  . ...... #> ZNF337       .  . ...... #> ZNF34        .  . ...... #> ZNF341       .  1 ...... #> ZNF345       .  . ...... #> ZNF346       .  . ...... #> ZNF35        .  . ...... #> ZNF354A      .  . ...... #> ZNF354B      .  . ...... #> ZNF354C      .  . ...... #> ZNF358       1  . ...... #> ZNF362       .  . ...... #> ZNF365       .  . ...... #> ZNF367       .  . ...... #> ZNF382       .  . ...... #> ZNF383       .  . ...... #> ZNF384       .  . ...... #> ZNF385A      .  . ...... #> ZNF385B      .  . ...... #> ZNF385C      .  . ...... #> ZNF394       1  . ...... #> ZNF395       .  . ...... #> ZNF397       .  . ...... #> ZNF398       .  . ...... #> ZNF408       .  . ...... #> ZNF410       .  . ...... #> ZNF414       .  . ...... #> ZNF418       .  . ...... #> ZNF419       .  . ...... #> ZNF420       .  1 ...... #> ZNF423       .  . ...... #> ZNF426       .  . ...... #> ZNF428       .  1 ...... #> ZNF429       .  . ...... #> ZNF433       .  . ...... #> ZNF436       .  . ...... #> ZNF438       .  . ...... #> ZNF439       .  . ...... #> ZNF440       .  . ...... #> ZNF444       .  . ...... #> ZNF445       .  . ...... #> ZNF446       .  . ...... #> ZNF449       .  . ...... #> ZNF45        .  . ...... #> ZNF451       .  . ...... #> ZNF454       .  . ...... #> ZNF462       .  . ...... #> ZNF467       .  . ...... #> ZNF473       .  . ...... #> ZNF48        .  . ...... #> ZNF480       .  . ...... #> ZNF483       .  . ...... #> ZNF487       .  . ...... #> ZNF491       .  . ...... #> ZNF496       .  . ...... #> ZNF503       .  2 ...... #> ZNF507       .  . ...... #> ZNF511       .  1 ...... #> ZNF511-PRAP1 .  . ...... #> ZNF512       .  1 ...... #> ZNF512B      .  1 ...... #> ZNF513       .  1 ...... #> ZNF516       .  . ...... #> ZNF517       .  . ...... #> ZNF518A      .  . ...... #> ZNF518B      .  . ...... #> ZNF521       .  . ...... #> ZNF526       .  . ...... #> ZNF532       .  . ...... #> ZNF536       .  . ...... #> ZNF541       .  . ...... #> ZNF551       .  . ...... #> ZNF552       .  . ...... #> ZNF554       .  . ...... #> ZNF555       .  . ...... #> ZNF556       .  . ...... #> ZNF558       .  . ...... #> ZNF560       .  . ...... #> ZNF561       .  . ...... #> ZNF562       .  . ...... #> ZNF566       .  . ...... #> ZNF569       .  . ...... #> ZNF570       .  . ...... #> ZNF574       .  . ...... #> ZNF575       .  . ...... #> ZNF583       .  . ...... #> ZNF586       .  . ...... #> ZNF587B      .  . ...... #> ZNF592       .  1 ...... #> ZNF593       .  . ...... #> ZNF597       .  . ...... #> ZNF598       1  . ...... #> ZNF605       .  . ...... #> ZNF606       .  . ...... #> ZNF608       .  . ...... #> ZNF609       .  1 ...... #> ZNF610       .  . ...... #> ZNF618       .  . ...... #> ZNF622       .  . ...... #> ZNF623       .  . ...... #> ZNF627       .  . ...... #> ZNF628       .  . ...... #> ZNF629       .  . ...... #> ZNF638       .  1 ...... #> ZNF639       .  . ...... #> ZNF641       .  . ...... #> ZNF644       .  . ...... #> ZNF646       .  . ...... #> ZNF652       .  . ...... #> ZNF653       .  . ...... #> ZNF654       .  . ...... #> ZNF655       .  . ...... #> ZNF664       1  . ...... #> ZNF665       .  . ...... #> ZNF667       .  . ...... #> ZNF668       .  . ...... #> ZNF669       .  . ...... #> ZNF672       .  . ...... #> ZNF674       .  . ...... #> ZNF687       .  1 ...... #> ZNF688       .  . ...... #> ZNF689       .  . ...... #> ZNF69        .  . ...... #> ZNF691       .  . ...... #> ZNF692       .  . ...... #> ZNF697       .  . ...... #> ZNF7         .  . ...... #> ZNF700       .  . ...... #> ZNF703       .  . ...... #> ZNF704       .  . ...... #> ZNF705A      .  . ...... #> ZNF705B      .  . ...... #> ZNF705D      .  . ...... #> ZNF705E      .  . ...... #> ZNF705G      .  . ...... #> ZNF706       1  2 ...... #> ZNF711       .  . ...... #> ZNF713       .  . ...... #> ZNF721       .  . ...... #> ZNF727       .  . ...... #> ZNF736       .  . ...... #> ZNF740       .  . ...... #> ZNF746       .  . ...... #> ZNF747       .  . ...... #> ZNF749       .  . ...... #> ZNF750       .  . ...... #> ZNF76        .  1 ...... #> ZNF763       .  . ...... #> ZNF764       .  . ...... #> ZNF768       .  . ...... #> ZNF770       .  . ...... #> ZNF771       .  . ...... #> ZNF777       .  . ...... #> ZNF778       .  . ...... #> ZNF780A      .  . ...... #> ZNF781       .  . ...... #> ZNF784       .  . ...... #> ZNF786       .  . ...... #> ZNF787       .  1 ...... #> ZNF8         .  . ...... #> ZNF800       .  . ...... #> ZNF804A      .  . ...... #> ZNF821       .  . ...... #> ZNF827       .  . ...... #> ZNF830       .  . ...... #> ZNF839       .  . ...... #> ZNF845       .  . ...... #> ZNF850       .  . ...... #> ZNF879       .  . ...... #> ZNF891       .  . ...... #> ZNFX1        .  1 ...... #> ZNHIT1       1  1 ...... #> ZNHIT2       2  1 ...... #> ZNHIT3       .  1 ...... #> ZNHIT6       .  . ...... #> ZNRF1        .  . ...... #> ZNRF2        1  . ...... #> ZNRF3        .  . ...... #> ZPBP         .  1 ...... #> ZPBP2        .  . ...... #> ZPR1         .  . ...... #> ZRANB1       .  . ...... #> ZRANB2       1  2 ...... #> ZRANB3       .  . ...... #> ZRSR2        .  . ...... #> ZSCAN10      .  . ...... #> ZSCAN12      .  . ...... #> ZSCAN18      .  . ...... #> ZSCAN2       .  . ...... #> ZSCAN20      .  . ...... #> ZSCAN21      .  . ...... #> ZSCAN22      .  . ...... #> ZSCAN25      .  . ...... #> ZSCAN26      .  . ...... #> ZSCAN29      .  . ...... #> ZSWIM1       .  . ...... #> ZSWIM3       .  . ...... #> ZSWIM4       .  . ...... #> ZSWIM5       .  1 ...... #> ZSWIM6       .  . ...... #> ZSWIM7       .  . ...... #> ZSWIM8       1  . ...... #> ZW10         .  . ...... #> ZWILCH       .  . ...... #> ZWINT        1  7 ...... #> ZXDC         .  . ...... #> ZYG11B       .  . ...... #> ZYX          .  . ...... #> ZZEF1        .  . ...... #> ZZZ3         1  . ......"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GraphPlot — GraphPlot","title":"GraphPlot — GraphPlot","text":"GraphPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GraphPlot — GraphPlot","text":"","code":"GraphPlot(   node,   edge,   transition = NULL,   node_coord = c(\"x\", \"y\"),   node_group = NULL,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   use_triangular = c(\"upper\", \"lower\", \"both\"),   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_color = \"grey40\",   edge_size = c(0.2, 1),   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_color = \"black\",   transition_size = c(0.2, 1),   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GraphPlot — GraphPlot","text":"node  theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"GroupHeatmap — GroupHeatmap","title":"GroupHeatmap — GroupHeatmap","text":"GroupHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GroupHeatmap — GroupHeatmap","text":"","code":"GroupHeatmap(   srt,   features = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   grouping.var = NULL,   numerator = NULL,   cells = NULL,   aggregate_fun = base::mean,   exp_cutoff = 0,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 0,   features_label = NULL,   label_size = 10,   label_color = \"black\",   add_bg = FALSE,   bg_alpha = 0.5,   add_dot = FALSE,   dot_size = unit(8, \"mm\"),   add_reticle = FALSE,   reticle_color = \"grey\",   add_violin = FALSE,   fill.by = \"feature\",   fill_palette = \"Dark2\",   fill_palcolor = NULL,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else list(height =     grid::unit(1, \"cm\")),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GroupHeatmap — GroupHeatmap","text":"srt Seurat object. features vector gene names plot. group.Columns used calculate cell expression. One heatmap per column name. assay Assay used calculate expression. exp_method Method used calculate cell expression. feature_split vector group names features. db_combine  heatmap_palette Heatmap expression palette. cell_annotation_palette Column palette. feature_annotation_palette Feature groups palette.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GroupHeatmap — GroupHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 18:45:39.558987] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:45:43.830111] DEtest done #> Elapsed time:4.27 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1)  ht2 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\",   nlabel = 10, show_row_names = FALSE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   ht3 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   nlabel = 20, show_row_names = FALSE,   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 18:45:45.319673] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:46:20.084621] Enrichment done #> Elapsed time:34.76 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 18:15:33.475803 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 18:15:43.822046 de_top <- de_filter %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht4 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(height = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE, show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   ht5 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(width = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE,   flip = TRUE, column_title_rot = 45, show_column_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   ht6 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, fill.by = \"expression\", fill_palette = \"Blues\", cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot   ht8 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, group.by = \"CellType\", split.by = \"Phase\", n_split = 4,   cluster_rows = TRUE, cluster_columns = TRUE, cluster_row_slices = TRUE, cluster_column_slices = TRUE,   add_dot = TRUE, add_reticle = TRUE, heatmap_palette = \"viridis\",   show_row_names = TRUE, ht_params = list(row_gap = grid::unit(0, \"mm\"), row_names_gp = grid::gpar(fontsize = 10)) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht8$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony_integrate — Harmony_integrate","title":"Harmony_integrate — Harmony_integrate","text":"Harmony_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony_integrate — Harmony_integrate","text":"","code":"Harmony_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   Harmony_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   RunHarmony_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony_integrate — Harmony_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Integration_SCP — Integration_SCP","title":"Integration_SCP — Integration_SCP","text":"Single cell pipeline integration multiple datasets.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Integration_SCP — Integration_SCP","text":"","code":"Integration_SCP(   srtMerge = NULL,   batch,   append = TRUE,   srtList = NULL,   assay = NULL,   integration_method = \"Uncorrected\",   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Integration_SCP — Integration_SCP","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. integration_method Integration method. Can one \"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\". do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Integration_SCP — Integration_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Integration_SCP — Integration_SCP","text":"","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Uncorrected\" ) #> [2023-09-08 18:47:59.126944] Start Uncorrected_integrate #> [2023-09-08 18:47:59.146624] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 18:47:59.624029] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:48:02.321412] Finished checking. #> [2023-09-08 18:48:02.802424] Perform integration(Uncorrected) on the data... #> [2023-09-08 18:48:02.805027] Start Standard_SCP #> [2023-09-08 18:48:02.805223] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Number of available HVF: 2000 #> [2023-09-08 18:48:03.270582] Finished checking. #> [2023-09-08 18:48:03.270813] Perform ScaleData on the data... #> [2023-09-08 18:48:03.431212] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:48:04.492089] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:48:04.618693] Reorder clusters... #> [2023-09-08 18:48:04.806595] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> [2023-09-08 18:48:14.535911] Standard_SCP done #> Elapsed time: 11.73 secs  #> [2023-09-08 18:48:14.804509] Uncorrected_integrate done #> Elapsed time: 15.68 secs  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\" ) #> [2023-09-08 18:48:15.41279] Start Seurat_integrate #> [2023-09-08 18:48:15.427832] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 18:48:15.898881] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:48:18.734345] Finished checking. #> [2023-09-08 18:48:19.509577] Perform FindIntegrationAnchors on the data... #> [2023-09-08 18:48:41.757103] Perform integration(Seurat) on the data... #> [2023-09-08 18:48:51.294447] Perform ScaleData on the data... #> [2023-09-08 18:48:51.477062] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:48:52.754349] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:48:52.922222] Reorder clusters... #> [2023-09-08 18:48:53.14122] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-08 18:49:02.782259] Seurat_integrate done #> Elapsed time: 47.37 secs  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   if (FALSE) { integration_methods <- c(\"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\") for (method in integration_methods) {   panc8_sub <- Integration_SCP(     srtMerge = panc8_sub, batch = \"tech\",     integration_method = method, linear_reduction_dims_use = 1:50, nonlinear_reduction = \"umap\"   )   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(method, \"UMAP2D\"), theme_use = \"theme_blank\")) }  nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\",   nonlinear_reduction = nonlinear_reductions ) for (nr in nonlinear_reductions) {   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(\"Seurat\", nr, \"2D\"), theme_use = \"theme_blank\")) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"LIGER_integrate — LIGER_integrate","title":"LIGER_integrate — LIGER_integrate","text":"LIGER_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LIGER_integrate — LIGER_integrate","text":"","code":"LIGER_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   LIGER_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   optimizeALS_params = list(),   quantilenorm_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LIGER_integrate — LIGER_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":null,"dir":"Reference","previous_headings":"","what":"LineagePlot — LineagePlot","title":"LineagePlot — LineagePlot","text":"LineagePlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LineagePlot — LineagePlot","text":"","code":"LineagePlot(   srt,   lineages,   weights = NULL,   reduction = NULL,   dims = c(1, 2),   cells = NULL,   trim = c(0.01, 0.99),   span = 0.75,   palette = \"Dark2\",   palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   linewidth = 1,   line_bg = \"white\",   line_bg_stroke = 0.5,   whiskers = FALSE,   whiskers_linewidth = 0.5,   whiskers_alpha = 0.5,   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LineagePlot — LineagePlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"LineagePlot — LineagePlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3))  LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3), whiskers = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":null,"dir":"Reference","previous_headings":"","what":"ListDB — ListDB","title":"ListDB — ListDB","text":"ListDB","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ListDB — ListDB","text":"","code":"ListDB(species = \"Homo_sapiens\", db = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ListDB — ListDB","text":"db","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ListDB — ListDB","text":"","code":"ListDB(species = \"Homo_sapiens\") #> [1] identifier version    comment    timestamp  date       db_version db_name    file       #> <0 rows> (or 0-length row.names) ListDB(species = \"Mus_musculus\") #>                                                         identifier version                                      comment #> 1 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7             6.0.0 nterm:5960|Mus_musculus-DO #> 2 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7 2023-09-04 08:03 nterm:10294|Mus_musculus-MP #> 3 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:16027|Mus_musculus-GO_BP #> 4 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          3.17.0 nterm:56|Mus_musculus-Enzyme #> 5 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:11|Mus_musculus-GeneType #> 6 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7      3.17.0 nterm:23|Mus_musculus-Chromosome #> 7 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7         VerSeDa nterm:1|Mus_musculus-VerSeDa #> 8 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7               CSPA nterm:1|Mus_musculus-CSPA #> 9 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          AnimalTFDB4 nterm:2|Mus_musculus-TF #>    timestamp                       date                   db_version                 db_name #> 1 1694197756 2023-09-08 18:29:16.181716             6.0.0 nterm:5960         Mus_musculus-DO #> 2 1694197751 2023-09-08 18:29:10.543634 2023-09-04 08:03 nterm:10294         Mus_musculus-MP #> 3 1694197532 2023-09-08 18:25:31.828718           3.17.0 nterm:16027      Mus_musculus-GO_BP #> 4 1694197085 2023-09-08 18:18:04.596418              3.17.0 nterm:56     Mus_musculus-Enzyme #> 5 1694197078 2023-09-08 18:17:57.975793              3.17.0 nterm:11   Mus_musculus-GeneType #> 6 1694197021  2023-09-08 18:17:01.38767              3.17.0 nterm:23 Mus_musculus-Chromosome #> 7 1694196969 2023-09-08 18:16:09.254712              VerSeDa nterm:1    Mus_musculus-VerSeDa #> 8 1694196944 2023-09-08 18:15:43.822046                 CSPA nterm:1       Mus_musculus-CSPA #> 9 1694196933 2023-09-08 18:15:33.475803          AnimalTFDB4 nterm:2         Mus_musculus-TF #>                                                                    file #> 1 /home/runner/.cache/R/R.cache/792dd0f1ca33ed8236cf6e82be723937.Rcache #> 2 /home/runner/.cache/R/R.cache/bc3123b03f0a175d52acb01b33815f41.Rcache #> 3 /home/runner/.cache/R/R.cache/42b4d036008b98824957461afba8e2f3.Rcache #> 4 /home/runner/.cache/R/R.cache/008eb78c5dea0f0a9c643a671db7ba86.Rcache #> 5 /home/runner/.cache/R/R.cache/feae616aade8debb4c248b537cbdaf65.Rcache #> 6 /home/runner/.cache/R/R.cache/e2c36a88c14e46ebb8d542a1faefd195.Rcache #> 7 /home/runner/.cache/R/R.cache/c81fdce160dcfca80a3a94cacd3ca65b.Rcache #> 8 /home/runner/.cache/R/R.cache/267624ab3d48b245ce01deac5165a7b1.Rcache #> 9 /home/runner/.cache/R/R.cache/82f852e1d9ed5c0a5ad672b843c18742.Rcache"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"MNN_integrate — MNN_integrate","title":"MNN_integrate — MNN_integrate","text":"MNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MNN_integrate — MNN_integrate","text":"","code":"MNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   mnnCorrect_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MNN_integrate — MNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"PAGA plot — PAGAPlot","title":"PAGA plot — PAGAPlot","text":"PAGA plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PAGA plot — PAGAPlot","text":"","code":"PAGAPlot(   srt,   paga = srt@misc$paga,   type = \"connectivities\",   reduction = NULL,   dims = c(1, 2),   cells = NULL,   show_transition = FALSE,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_size = c(0.2, 1),   edge_color = \"grey40\",   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_size = c(0.2, 1),   transition_color = \"black\",   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = \"PAGA\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PAGA plot — PAGAPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PAGA plot — PAGAPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. PAGAPlot(pancreas_sub)  PAGAPlot(pancreas_sub, type = \"connectivities_tree\")  PAGAPlot(pancreas_sub, reduction = \"PCA\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, label = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE, label_repel = TRUE)  PAGAPlot(pancreas_sub, edge_line = \"curved\")  PAGAPlot(pancreas_sub, node_size = \"GroupSize\")  PAGAPlot(pancreas_sub, node_highlight = \"Ductal\")  PAGAPlot(pancreas_sub, edge_highlight = paste(\"Pre-endocrine\", levels(pancreas_sub$SubCellType), sep = \"-\"))   pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ PAGAPlot(pancreas_sub, show_transition = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare the gene annotation databases — PrepareDB","title":"Prepare the gene annotation databases — PrepareDB","text":"Prepare gene annotation databases","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"PrepareDB(   species = c(\"Homo_sapiens\", \"Mus_musculus\"),   db = c(\"GO\", \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\", \"Reactome\",     \"ProteinComplex\", \"DGI\", \"MP\", \"DO\", \"HPO\", \"PFAM\", \"Chromosome\", \"GeneType\",     \"Enzyme\", \"TF\", \"CSPA\", \"Surfaceome\", \"SPRomeDB\", \"VerSeDa\", \"TFLink\", \"hTFtarget\",     \"TRRUST\", \"JASPAR\", \"ENCODE\", \"MSigDB\", \"CellTalk\", \"CellChat\"),   db_IDtypes = c(\"symbol\", \"entrez_id\", \"ensembl_id\"),   db_version = \"latest\",   db_update = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   biomart = NULL,   max_tries = 5,   custom_TERM2GENE = NULL,   custom_TERM2NAME = NULL,   custom_species = NULL,   custom_IDtype = NULL,   custom_version = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare the gene annotation databases — PrepareDB","text":"species species db Enrichment database name. db_update Whether update database latest version. custom_version","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare the gene annotation databases — PrepareDB","text":"list containing database.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"if (interactive()) {   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"GO_BP\")   ListDB(species = \"Homo_sapiens\", db = \"GO_BP\")   head(db_list[[\"Homo_sapiens\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Based on homologous gene conversion, prepare a gene annotation database that originally does not exist in the species.   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"MP\")   ListDB(species = \"Homo_sapiens\", db = \"MP\")   head(db_list[[\"Homo_sapiens\"]][[\"MP\"]][[\"TERM2GENE\"]])    # Prepare databases for other species   db_list <- PrepareDB(species = \"Macaca_fascicularis\", db = \"GO_BP\")   ListDB(species = \"Macaca_fascicularis\", db = \"GO_BP\")   head(db_list[[\"Macaca_fascicularis\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    db_list <- PrepareDB(species = \"Saccharomyces_cerevisiae\", db = \"GO_BP\")   ListDB(species = \"Saccharomyces_cerevisiae\", db = \"GO_BP\")   head(db_list[[\"Saccharomyces_cerevisiae\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Prepare databases for Arabidopsis (plant)   db_list <- PrepareDB(     species = \"Arabidopsis_thaliana\",     db = c(       \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\",       \"ENZYME\", \"Chromosome\"     ),     biomart = \"plants_mart\"   )   head(db_list[[\"Arabidopsis_thaliana\"]][[\"KEGG\"]][[\"TERM2GENE\"]])    # You can also build a custom database based on the gene sets you have   ccgenes <- CC_GenePrefetch(\"Homo_sapiens\")   custom_TERM2GENE <- rbind(     data.frame(term = \"S_genes\", gene = ccgenes[[\"cc_S_genes\"]]),     data.frame(term = \"G2M_genes\", gene = ccgenes[[\"cc_G2M_genes\"]])   )   str(custom_TERM2GENE)    # Set convert_species = TRUE to build a custom database for both species, with the name \"CellCycle\"   db_list <- PrepareDB(     species = c(\"Homo_sapiens\", \"Mus_musculus\"), db = \"CellCycle\", convert_species = TRUE,     custom_TERM2GENE = custom_TERM2GENE, custom_species = \"Homo_sapiens\", custom_IDtype = \"symbol\", custom_version = \"Seurat_v4\"   )   ListDB(db = \"CellCycle\")    db_list <- PrepareDB(species = \"Mus_musculus\", db = \"CellCycle\")   head(db_list[[\"Mus_musculus\"]][[\"CellCycle\"]][[\"TERM2GENE\"]]) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare SCP python environment — PrepareEnv","title":"Prepare SCP python environment — PrepareEnv","text":"Prepare SCP python environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare SCP python environment — PrepareEnv","text":"","code":"PrepareEnv(   conda = \"auto\",   miniconda_repo = \"https://repo.anaconda.com/miniconda\",   python_version = \"3.8\",   envname = NULL,   force = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare SCP python environment — PrepareEnv","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. miniconda_repo Repositories miniconda. Default https://repo.anaconda.com/miniconda python_version version python install. Default 3.8 envname name conda environment. force Whether force new environment created. TRUE, existing environment recreated. Default FALSE ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"Prepare Seurat object data SCExplorer hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"PrepareSCExplorer(   object,   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   assays = \"RNA\",   slots = c(\"counts\", \"data\"),   ignore_nlevel = 100,   write_tools = FALSE,   write_misc = FALSE,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Projection Plot — ProjectionPlot","title":"Projection Plot — ProjectionPlot","text":"Projection Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Projection Plot — ProjectionPlot","text":"","code":"ProjectionPlot(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   query_feature = NULL,   ref_feature = NULL,   query_reduction = \"ref.embeddings\",   ref_reduction = srt_query[[query_reduction]]@misc[[\"reduction.model\"]] %||% NULL,   query_param = list(palette = \"Set1\", cells.highlight = TRUE),   ref_param = list(palette = \"Paired\"),   xlim = NULL,   ylim = NULL,   pt.size = 0.8,   stroke.highlight = 0.5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Projection Plot — ProjectionPlot","text":"stroke.highlight","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Projection Plot — ProjectionPlot","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 18:50:02.026297] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"Attempt recover raw counts normalized matrix.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"RecoverCounts(   srt,   assay = NULL,   trans = c(\"expm1\", \"exp\", \"none\"),   min_count = c(1, 2, 3),   tolerance = 0.1,   sf = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"srt Seurat object. assay Name assay recover counts. trans transformation function applied data presumed log-normalized. min_count Minimum UMI count genes. tolerance recovering raw counts, nCount cell theoretically calculated integer. However, due decimal point preservation normalization, calculated nCount usually floating point number close integer. tolerance difference integer. Default 0.1 sf Set scaling factor manually. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"data(\"pancreas_sub\") raw_counts <- pancreas_sub@assays$RNA@counts  # Normalized the data pancreas_sub <- Seurat::NormalizeData(pancreas_sub)  # Now replace counts with the log-normalized data matrix pancreas_sub@assays$RNA@counts <- pancreas_sub@assays$RNA@data  # Recover the counts and compare with the raw counts matrix pancreas_sub <- RecoverCounts(pancreas_sub) #> The data is presumed to be log-normalized. #> Perform expm1 on the raw data. #> The presumed scale factor: 10000 identical(raw_counts, pancreas_sub@assays$RNA@counts) #> [1] TRUE"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename clusters for the Seurat object — RenameClusters","title":"Rename clusters for the Seurat object — RenameClusters","text":"Rename clusters Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"RenameClusters(   srt,   group.by,   nameslist = list(),   name = \"newclusters\",   keep_levels = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename clusters for the Seurat object — RenameClusters","text":"srt Seurat object. group.old group used rename cells. nameslist named list new cluster value. name name new cluster stored Seurat object. keep_levels old group factor, keep order levels.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"data(\"pancreas_sub\") levels(pancreas_sub@meta.data[[\"SubCellType\"]]) #> [1] \"Ductal\"        \"Ngn3 low EP\"   \"Ngn3 high EP\"  \"Pre-endocrine\" \"Beta\"          \"Alpha\"         \"Delta\"         #> [8] \"Epsilon\"        # Rename all clusters pancreas_sub <- RenameClusters(pancreas_sub, group.by = \"SubCellType\", nameslist = letters[1:8]) CellDimPlot(pancreas_sub, \"newclusters\")   # Rename specified clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"a\" = \"Alpha\", \"b\" = \"Beta\") ) CellDimPlot(pancreas_sub, \"newclusters\")   # Merge and rename clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"EndocrineClusters\" = c(\"Alpha\", \"Beta\", \"Epsilon\", \"Delta\")),   name = \"Merged\", keep_levels = TRUE ) CellDimPlot(pancreas_sub, \"Merged\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename features for the Seurat object — RenameFeatures","title":"Rename features for the Seurat object — RenameFeatures","text":"Rename features Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"RenameFeatures(srt, newnames = NULL, assays = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename features for the Seurat object — RenameFeatures","text":"srt Seurat object. newnames vector length features Seurat object, characters named old features. assays Assays rename.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"data(\"panc8_sub\") head(rownames(panc8_sub)) #> [1] \"A1BG\"   \"A1CF\"   \"A2M\"    \"A4GALT\" \"AAAS\"   \"AACS\"   # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_rename <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA head(rownames(panc8_rename)) #> [1] \"A1bg\"   \"A1cf\"   \"A2m\"    \"A4galt\" \"Aaas\"   \"Aacs\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with CSS method — RunCSSMap","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"Single-cell reference mapping CSS method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"RunCSSMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_css]]@assay.used,   ref_css = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\") #> [2023-09-08 18:50:21.67187] Start CSS_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunCSSMap(srt_query = srt_query, srt_ref = srt_ref, ref_css = \"CSS\", ref_umap = \"CSSUMAP2D\") #> Install package: \"simspec\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing github package(s) 'quadbiolab/simspec' #> Warning: package ‘quadbiolab/simspec’ is not available for this version of R #>  #> A version of this package for your version of R might be available elsewhere, #> see the ideas at #> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages #> Using github PAT from envvar GITHUB_PAT #> Downloading GitHub repo quadbiolab/simspec@HEAD #> ── R CMD build ───────────────────────────────────────────────────────────────────────────────────────────────────────── #> * checking for file ‘/tmp/RtmpKXLDce/remotes1f9f21f47120/quadbio-simspec-680488c/DESCRIPTION’ ... OK #> * preparing ‘simspec’: #> * checking DESCRIPTION meta-information ... OK #> * checking for LF line-endings in source and make files and shell scripts #> * checking for empty or unneeded directories #> Omitted ‘LazyData’ from DESCRIPTION #> * building ‘simspec_0.0.0.9000.tar.gz’ #>  #> Installing package into ‘/home/runner/work/_temp/Library’ #> (as ‘lib’ is unspecified) #> Error: Cannot find 'CSS' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":null,"dir":"Reference","previous_headings":"","what":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"CellQC, doublet-calling run first reject abnormal cell data based median absolute deviation (MAD) outliers. doublet-calling outlier filtering, CellQC perform general QC (gene count, UMI count, etc.) reject cell data non-species interest based proportion number UMIs species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"RunCellQC(   srt,   assay = \"RNA\",   batch = NULL,   qc_metrics = c(\"doublets\", \"outlier\", \"umi\", \"gene\", \"mito\", \"ribo\", \"ribo_mito_ratio\",     \"species\"),   return_filtered = FALSE,   db_method = \"scDblFinder\",   db_rate = NULL,   db_coefficient = 0.01,   outlier_cutoff = c(\"log10_nCount:lower:2.5\", \"log10_nCount:higher:5\",     \"log10_nFeature:lower:2.5\", \"log10_nFeature:higher:5\", \"featurecount_dist:lower:2.5\"),   outlier_n = 1,   UMI_threshold = 3000,   gene_threshold = 1000,   mito_threshold = 20,   mito_pattern = c(\"MT-\", \"Mt-\", \"mt-\"),   mito_gene = NULL,   ribo_threshold = 50,   ribo_pattern = c(\"RP[SL]\\\\d+\\\\w{0,1}\\\\d*$\", \"Rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\",     \"rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\"),   ribo_gene = NULL,   ribo_mito_ratio_range = c(1, Inf),   species = NULL,   species_gene_prefix = NULL,   species_percent = 95,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"srt Seurat object. assay Assay use. qc_metrics QC metrics applied. return_filtered Whether return cell-filtered Seurat object. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. outlier_cutoff MAD outlier metrics. See isOutlier. outlier_n Minimum number outlier metrics meet conditions determining outlier cells. Default 1. UMI_threshold UMI number threshold. Cells exceed threshold considered kept. Default 3000. gene_threshold Gene number threshold. Cells exceed threshold considered kept. Default 1000. mito_threshold Percentage UMI counts mitochondrial genes. Cells exceed threshold considered discarded. Default 20. mito_pattern Regex patterns match mitochondrial genes. mito_gene defined mitochondrial genes. features provided, ignore mito_pattern matching. ribo_threshold Percentage UMI counts ribosomal genes. Cells exceed threshold considered discarded. Default 50. ribo_pattern Regex patterns match ribosomal genes. ribo_gene defined ribosomal genes. features provided, ignore ribo_pattern matching. species Species used suffix QC metrics. first species interest. Default NULL. species_gene_prefix Species gene prefix used calculate QC metrics species. Default NULL. species_percent Percentage UMI counts first species. Cells exceed threshold considered kept. Default 95. seed Set random seed. Default 11.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"Returns Seurat object QC results stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"General quality control usually uses metrics gene count, UMI count, etc. addition, ribo content mito content can used QC indicators: mito content can used indication apoptosis, general threshold 20 ribo content cell type dependent, cell types even 50 however, ribo content single cell data can also indicate whether empty droplets, ribo content empty droplets usually high mito content low instead.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunCellQC(pancreas_sub) #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 26  #> ... 12 potential doublets  #> ... 14 outlier cells  #> ... 0 low-UMI cells  #> ... 0 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 974  CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" ) #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic? #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic?  table(pancreas_sub$CellQC) #>  #> Pass Fail  #>  974   26   data(\"ifnb_sub\") ifnb_sub <- RunCellQC(ifnb_sub, batch = \"stim\", UMI_threshold = 1000, gene_threshold = 550) #> === CTRL === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 315  #> ... 54 potential doublets  #> ... 8 outlier cells  #> ... 28 low-UMI cells  #> ... 250 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 685  #> === STIM === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 303  #> ... 42 potential doublets  #> ... 12 outlier cells  #> ... 25 low-UMI cells  #> ... 251 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 697  CellStatPlot(   srt = ifnb_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )  table(ifnb_sub$CellQC) #>  #> Pass Fail  #> 1382  618"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":null,"dir":"Reference","previous_headings":"","what":"Differential gene test — RunDEtest","title":"Differential gene test — RunDEtest","text":"Differential gene test","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Differential gene test — RunDEtest","text":"","code":"RunDEtest(   srt,   group_by = NULL,   group1 = NULL,   group2 = NULL,   cells1 = NULL,   cells2 = NULL,   features = NULL,   markers_type = c(\"all\", \"paired\", \"conserved\", \"disturbed\"),   grouping.var = NULL,   meta.method = c(\"maximump\", \"minimump\", \"wilkinsonp\", \"meanp\", \"sump\", \"votep\"),   test.use = \"wilcox\",   only.pos = TRUE,   fc.threshold = 1.5,   base = 2,   pseudocount.use = 1,   mean.fxn = NULL,   min.pct = 0.1,   min.diff.pct = -Inf,   max.cells.per.ident = Inf,   latent.vars = NULL,   min.cells.feature = 3,   min.cells.group = 3,   norm.method = \"LogNormalize\",   p.adjust.method = \"bonferroni\",   slot = \"data\",   assay = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Differential gene test — RunDEtest","text":"srt Seurat object group_by group_by fc.threshold fc.threshold min.pct min.pct verbose  force force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Differential gene test — RunDEtest","text":"","code":"library(dplyr) data(\"pancreas_sub\")  pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 18:51:58.079929] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:52:03.032733] DEtest done #> Elapsed time:4.95 secs AllMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(AllMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>            75            29            69            39            61            50            37            44  ht1 <- GroupHeatmap(pancreas_sub, features = AllMarkers$gene, feature_split = AllMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot   TopMarkers <- AllMarkers %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht2 <- GroupHeatmap(pancreas_sub, features = TopMarkers$gene, feature_split = TopMarkers$group1, group.by = \"SubCellType\", show_row_names = TRUE) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\", markers_type = \"paired\") #> [2023-09-08 18:52:05.381767] Start DEtest #> Workers: 1 #> Find paired markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:52:26.29118] DEtest done #> Elapsed time:20.91 secs PairedMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$PairedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(PairedMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>           893           787           680           571           645           575           426           575  ht3 <- GroupHeatmap(pancreas_sub, features = PairedMarkers$gene, feature_split = PairedMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht3$plot   data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 18:52:34.848038] Start Seurat_integrate #> [2023-09-08 18:52:34.860752] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 18:52:35.318368] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 18:52:38.124264] Finished checking. #> [2023-09-08 18:52:38.450419] Perform FindIntegrationAnchors on the data... #> [2023-09-08 18:52:59.922838] Perform integration(Seurat) on the data... #> [2023-09-08 18:53:07.105266] Perform ScaleData on the data... #> [2023-09-08 18:53:08.644606] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 18:53:09.72287] Perform FindClusters (louvain) on the data... #> [2023-09-08 18:53:09.88877] Reorder clusters... #> [2023-09-08 18:53:10.086577] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-08 18:53:20.610306] Seurat_integrate done #> Elapsed time: 45.76 secs  CellDimPlot(panc8_sub, group.by = c(\"celltype\", \"tech\"))   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"conserved\") #> [2023-09-08 18:53:21.407538] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: No group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: Only a single group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: Only a single group was tested #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:53:52.196574] DEtest done #> Elapsed time:30.79 secs ConservedMarkers1 <- filter(panc8_sub@tools$DEtest_celltype$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers1$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 34                 47                145                 89                171                 16  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                  8                  0                  0                128                152                105  #>            schwann  #>                 16  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers1$gene, feature_split = ConservedMarkers1$group1,   group.by = \"tech\", split.by = \"celltype\", within_groups = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"tech\", grouping.var = \"celltype\", markers_type = \"conserved\") #> [2023-09-08 18:53:59.953263] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: activated_stellate has fewer than 3 cells. Skipping activated_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:54:23.384567] DEtest done #> Elapsed time:23.43 secs ConservedMarkers2 <- filter(panc8_sub@tools$DEtest_tech$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers2$group1) #>  #>     celseq    celseq2 fluidigmc1     indrop  smartseq2  #>         29         11         61         52         22  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers2$gene, feature_split = ConservedMarkers2$group1,   group.by = \"tech\", split.by = \"celltype\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"disturbed\") #> [2023-09-08 18:54:26.086118] Start DEtest #> Workers: 1 #> Find disturbed markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                   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      |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:54:52.400946] DEtest done #> Elapsed time:26.31 secs DisturbedMarkers <- filter(panc8_sub@tools$DEtest_celltype$DisturbedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1 & var1 == \"smartseq2\") table(DisturbedMarkers$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 37                117                 71                116                  5                  6  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 16                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht5 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers$gene, feature_split = DisturbedMarkers$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   gene_specific <- names(which(table(DisturbedMarkers$gene) == 1)) DisturbedMarkers_specific <- DisturbedMarkers[DisturbedMarkers$gene %in% gene_specific, ] table(DisturbedMarkers_specific$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                  3                 67                 27                 61                  4                  3  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 13                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht6 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(panc8_sub,   slot = \"data\", aggregate_fun = function(x) mean(expm1(x)) + 1,   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", grouping.var = \"tech\", numerator = \"smartseq2\" ) #> Warning: When 'grouping.var' is specified, 'exp_method' can only be 'log2fc' #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":null,"dir":"Reference","previous_headings":"","what":"Run DiffusionMap(DM) — RunDM","title":"Run DiffusionMap(DM) — RunDM","text":"Run DM dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run DiffusionMap(DM) — RunDM","text":"","code":"RunDM(object, ...)  # S3 method for Seurat RunDM(   object,   reduction = \"pca\",   dims = 1:30,   features = NULL,   assay = NULL,   slot = \"data\",   graph = NULL,   neighbor = NULL,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   reduction.name = \"dm\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for matrix RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   assay = NULL,   slot = \"data\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for Neighbor RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   slot = \"data\",   assay = NULL,   reduction.key = \"DM_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run DiffusionMap(DM) — RunDM","text":"object  ...  assay Name Assay dm run . slot Name slot dm run . graph  ndcs Total Number DM compute store (2 default). reduction.name dimensional reduction name, 'dm' default reduction.key dimensional reduction key, specifies string number dimension names. \"DM_\" default. seed.use Set random seed. default, sets seed 42. Setting NULL set seed. verbose Show progressbar progress information","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run DiffusionMap(DM) — RunDM","text":"Returns Seurat object DM calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Run dimensionality reduction — RunDimReduction","title":"Run dimensionality reduction — RunDimReduction","text":"Run dimensionality reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run dimensionality reduction — RunDimReduction","text":"","code":"RunDimReduction(   srt,   prefix = \"\",   features = NULL,   assay = NULL,   slot = \"data\",   linear_reduction = NULL,   linear_reduction_dims = 50,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = NULL,   nonlinear_reduction_dims = 2,   reduction_use = NULL,   reduction_dims = NULL,   graph_use = NULL,   neighbor_use = NULL,   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   verbose = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run dimensionality reduction — RunDimReduction","text":"srt Seurat object. prefix prefix used name result. features Use features expression data run linear nonlinear dimensionality reduction. assay Specific assay get data . slot Specific slot get data . linear_reduction Method linear dimensionality reduction. Options \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Total number dimensions compute store linear_reduction. linear_reduction_params parameters passed linear_reduction method. force_linear_reduction Whether force linear dimensionality reduction. nonlinear_reduction Method nonlinear dimensionality reduction. Options \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\" nonlinear_reduction_dims Total number dimensions compute store nonlinear_reduction. reduction_use dimensional reduction use input nonlinear_reduction. reduction_dims dimensions use input nonlinear_reduction, used features NULL. graph_use Name graph use nonlinear_reduction. neighbor_use Name neighbor use nonlinear_reduction. nonlinear_reduction_params parameters passed nonlinear_reduction method. force_nonlinear_reduction Whether force nonlinear dimensionality reduction. verbose Show messages. seed Set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Identification heterotypic (neotypic) doublets single-cell RNAseq data.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"RunDoubletCalling(   srt,   assay = \"RNA\",   db_method = \"scDblFinder\",   db_rate = ncol(srt)/1000 * 0.01,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"srt Seurat object. assay Assay use. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. ... Arguments passed corresponding doublet-calling method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Returns Seurat object doublet prediction results prediction scores stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDoubletCalling(pancreas_sub, db_method = \"scDblFinder\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicEnrichment — RunDynamicEnrichment","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"RunDynamicEnrichment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"RunDynamicEnrichment(   srt,   lineages,   score_method = \"AUCell\",   ncore = 1,   slot = \"data\",   assay = NULL,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = \"Lineage1\", n_candidates = 200) #> [2023-09-08 18:55:36.698031] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 199 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:55:48.464666] RunDynamicFeatures done #> Elapsed time:11.77 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 4 ) #> 146 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot   pancreas_sub <- RunDynamicEnrichment(   srt = pancreas_sub,   lineages = \"Lineage1\",   score_method = \"AUCell\",   db = \"GO_BP\",   species = \"Mus_musculus\" ) #> [2023-09-08 18:55:51.24343] Start RunDynamicFeatures #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2738 #> [2023-09-08 18:55:56.182624] Start CellScoring #> Workers: 1 #> Warning: Feature names cannot have underscores ('_'), replacing with dashes ('-') #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from go_bp_ to gobp_ #> [2023-09-08 18:58:21.194501] CellScoring done #> Elapsed time:2.42 mins #> [2023-09-08 18:58:21.19684] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2738 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 18:58:58.428244] RunDynamicFeatures done #> Elapsed time:37.23 secs #> [2023-09-08 18:58:58.428892] RunDynamicEnrichment done #> Elapsed time:3.12 mins ht2 <- DynamicHeatmap(   srt = pancreas_sub,   assay = \"GO_BP\",   lineages = \"Lineage1_GO_BP\",   cell_annotation = \"SubCellType\",   n_split = 4,   split_method = \"kmeans-peaktime\" ) #> 1856 features from Lineage1_GO_BP passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> GO-BP-2..deoxyribonucleotide.biosynthetic.process,GO-BP-2..deoxyribonucleotide.metabolic.process,GO-BP-ADP.metabolic.process,GO-BP-ATP.biosynthetic.process,GO-BP-ATP.metabolic.process,GO-BP-B.cell.activation,GO-BP-B.cell.apoptotic.process,GO-BP-B.cell.proliferation,GO-BP-CD4.positive..alpha.beta.T.cell.activation,GO-BP-DNA.conformation.change... #> Warning: The values in the 'counts' slot are non-integer. Set the library size to 1. #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicFeatures — RunDynamicFeatures","title":"RunDynamicFeatures — RunDynamicFeatures","text":"RunDynamicFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"RunDynamicFeatures(   srt,   lineages,   features = NULL,   suffix = lineages,   n_candidates = 1000,   minfreq = 5,   family = NULL,   slot = \"counts\",   assay = NULL,   libsize = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicFeatures — RunDynamicFeatures","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-08 18:59:34.780096] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:00:00.130301] RunDynamicFeatures done #> Elapsed time:25.35 secs names(pancreas_sub@tools$DynamicFeatures_Lineage1) #> [1] \"DynamicFeatures\" \"raw_matrix\"      \"fitted_matrix\"   \"upr_matrix\"      \"lwr_matrix\"      \"libsize\"         #> [7] \"lineages\"        \"family\"          head(pancreas_sub@tools$DynamicFeatures_Lineage1$DynamicFeatures) #>      features exp_ncells      r.sq  dev.expl peaktime valleytime pvalue padjust #> Gcg       Gcg        187 0.4655182 0.8691204 30.15024 24.1773998      0       0 #> Iapp     Iapp        334 0.4034078 0.7935303 30.15024  0.2290427      0       0 #> Pyy       Pyy        478 0.4559669 0.7388797 27.49398 15.9875637      0       0 #> Ppy       Ppy         88 0.1095566 0.6091776 30.15024  9.5549970      0       0 #> Gast     Gast        111 0.0591293 0.6073730 29.50531 10.7006670      0       0 #> Chgb     Chgb        346 0.4033797 0.7620188 23.04485 11.4825349      0       0 ht <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   cell_annotation = \"SubCellType\",   n_split = 6, reverse_ht = \"Lineage1\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht$plot   DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"Perform enrichment analysis(-representation) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"RunEnrichment(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   geneID = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff universe universe","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 19:00:14.130743] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:00:17.381903] DEtest done #> Elapsed time:3.25 secs pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-08 19:00:17.384704] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:01:03.465732] Enrichment done #> Elapsed time:46.08 secs EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   db = c(\"MSigDB\", \"MSigDB_MH\"), species = \"Mus_musculus\" ) #> [2023-09-08 19:01:03.71386] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MSigDB #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:02:46.372842] Enrichment done #> Elapsed time:1.71 mins EnrichmentPlot(pancreas_sub, db = \"MSigDB\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.  EnrichmentPlot(pancreas_sub, db = \"MSigDB_MH\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Remove redundant GO terms pancreas_sub <- RunEnrichment(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-08 19:02:46.924116] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:04:14.963242] Enrichment done #> Elapsed time:1.47 mins EnrichmentPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Use a combined database pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-08 19:04:15.230992] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 18:29:10.543634 #> Install package: \"PFAM.db\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'PFAM.db' #>  #> Install package: \"reactome.db\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'reactome.db' #> Preparing database: KEGG #> Preparing database: WikiPathway #> Preparing database: Reactome #> Preparing database: PFAM #> Convert ID types for the database: KEGG #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 9248 genes mapped with entrez_id #> ============================== #> 9248 genes mapped #> 86 genes unmapped #> ============================== #> Convert ID types for the database: WikiPathway #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 4560 genes mapped with entrez_id #> ============================== #> 4560 genes mapped #> 0 genes unmapped #> ============================== #> Convert ID types for the database: Reactome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 8562 genes mapped with entrez_id #> ============================== #> 8562 genes mapped #> 6 genes unmapped #> ============================== #> Convert ID types for the database: PFAM #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 19463 genes mapped with entrez_id #> ============================== #> 19463 genes mapped #> 73 genes unmapped #> ============================== #> Create 'Combined' database ... #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:08:08.183927] Enrichment done #> Elapsed time:3.88 mins EnrichmentPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Or use \"geneID\" and \"geneID_groups\" as input to run enrichment de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05) enrich_out <- RunEnrichment(geneID = de_df[[\"gene\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-08 19:08:08.516197] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:08:53.739353] Enrichment done #> Elapsed time:45.22 secs EnrichmentPlot(res = enrich_out, db = \"GO_BP\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":null,"dir":"Reference","previous_headings":"","what":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"Create force-directed layout developed Fruchterman Reingold.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"","code":"RunFR(object, ...)  # S3 method for Seurat RunFR(   object,   reduction = NULL,   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   graph = NULL,   neighbor = NULL,   k.param = 20,   ndim = 2,   niter = 500,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"FR\",   reduction.key = \"FR_\",   ... )  # S3 method for default RunFR(   object,   ndim = 2,   niter = 500,   reduction.key = \"FR_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run GLMPCA — RunGLMPCA","title":"Run GLMPCA — RunGLMPCA","text":"Run GLMPCA","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run GLMPCA — RunGLMPCA","text":"","code":"RunGLMPCA(object, ...)  # S3 method for Seurat RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for Assay RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for default RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run GLMPCA — RunGLMPCA","text":"object Seurat object ...  L number dimensions return (defaults 5) assay Assay use, defaults default assay features list features use performing GLM-PCA. null, defaults variable features. reduction.name Name store resulting DimReduc object . Defaults glmpca reduction.key Key resulting DimReduc. Defaults GLMPC_","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run GLMPCA — RunGLMPCA","text":"Seurat object containing output GLMPCA stored DimReduc object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"Perform enrichment analysis(GSEA) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"RunGSEA(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\",   geneID = NULL,   geneScore = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 19:08:57.717326] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:14:00.778666] DEtest done #> Elapsed time:5.05 mins pancreas_sub <- RunGSEA(pancreas_sub,   group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\", db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-08 19:14:00.781523] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:19:29.074286] GSEA done #> Elapsed time:5.47 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\"))   # Remove redundant GO terms pancreas_sub <- RunGSEA(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-08 19:19:30.863482] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:25:22.189565] GSEA done #> Elapsed time:5.86 mins GSEAPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\")   # Use a combined database pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-08 19:25:22.513008] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: KEGG version:Release 107.0+/09-08, Sep 23 nterm:351 created:2023-09-08 19:06:56.672793 #> Loading cached db: WikiPathway version:20230810 nterm:200 created:2023-09-08 19:07:04.17692 #> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-08 19:07:13.008936 #> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-08 19:07:45.463694 #> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 18:29:10.543634 #> Create 'Combined' database ... #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:27:09.524743] GSEA done #> Elapsed time:1.78 mins GSEAPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\")   # Or use \"geneID\", \"geneScore\" and \"geneID_groups\" as input to run GSEA de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05) gsea_out <- RunGSEA(geneID = de_df[[\"gene\"]], geneScore = de_df[[\"avg_log2FC\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-08 19:27:09.811327] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:32:38.120501] GSEA done #> Elapsed time:5.47 mins GSEAPlot(res = gsea_out, db = \"GO_BP\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony single cell integration — RunHarmony2","title":"Harmony single cell integration — RunHarmony2","text":"Run Harmony algorithm Seurat pipelines.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony single cell integration — RunHarmony2","text":"","code":"RunHarmony2(object, ...)  # S3 method for Seurat RunHarmony2(   object,   group.by.vars,   reduction = \"pca\",   dims.use = NULL,   theta = NULL,   lambda = NULL,   sigma = 0.1,   nclust = NULL,   tau = 0,   block.size = 0.05,   max.iter.harmony = 10,   max.iter.cluster = 20,   epsilon.cluster = 1e-05,   epsilon.harmony = 1e-04,   plot_convergence = FALSE,   verbose = TRUE,   reference_values = NULL,   reduction.save = \"Harmony\",   assay.use = \"RNA\",   project.dim = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony single cell integration — RunHarmony2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with KNN method — RunKNNMap","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"Single-cell reference mapping KNN method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"RunKNNMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = NULL,   ref_umap = NULL,   ref_group = NULL,   features = NULL,   nfeatures = 2000,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 19:32:42.123868] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using similarity. — RunKNNPredict","title":"Annotate single cells using similarity. — RunKNNPredict","text":"Annotate single cells using similarity.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"RunKNNPredict(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   return_full_distance_matrix = FALSE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   nn_method = NULL,   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using similarity. — RunKNNPredict","text":"srt_query seurat object. bulk_ref cell atlas matrix, e.g., SCP::ref_scHCL query_assay assay used srt_query DE_threshold Threshold used filter DE features. Default \"p_val < 0.05\". using \"roc\" test, DE_threshold needs reassigned. e.g. \"power > 0.5\" k Number predictions return. prefix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"# Annotate cells using bulk RNA-seq data data(\"pancreas_sub\") data(\"ref_scMCA\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 19:32:43.883222] Start Standard_SCP #> [2023-09-08 19:32:43.884179] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:32:44.897474] Finished checking. #> [2023-09-08 19:32:44.897689] Perform ScaleData on the data... #> [2023-09-08 19:32:45.028295] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:32:45.801473] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:32:45.917521] Reorder clusters... #> [2023-09-08 19:32:46.16124] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:32:55.958804] Standard_SCP done #> Elapsed time: 12.08 secs  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Removal of low credible cell types from the predicted results pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 30) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate clusters using bulk RNA-seq data pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, query_group = \"SubCellType\", bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate using single cell RNA-seq data data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 19:33:00.361137] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 19:33:00.846436] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:33:03.900775] Finished checking.  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, srt_ref = panc8_sub, ref_group = \"celltype\") #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", ref_collapsing = FALSE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_prob\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\" ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   # Annotate with DE gene instead of HVF pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"ref\" ) #> [2023-09-08 19:33:07.925362] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:33:17.677477] DEtest done #> Elapsed time:9.75 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 2000 #> Use 1865 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"both\" ) #> [2023-09-08 19:33:18.709784] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:33:21.530445] DEtest done #> Elapsed time:2.82 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the query data: 956 #> [2023-09-08 19:33:21.762153] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:33:30.901825] DEtest done #> Elapsed time:9.14 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 252 #> Use 67 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":null,"dir":"Reference","previous_headings":"","what":"Run LargeVis — RunLargeVis","title":"Run LargeVis — RunLargeVis","text":"Run LargeVis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run LargeVis — RunLargeVis","text":"","code":"RunLargeVis(object, ...)  # S3 method for Seurat RunLargeVis(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.name = \"largevis\",   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunLargeVis(   object,   assay = NULL,   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run LargeVis — RunLargeVis","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":null,"dir":"Reference","previous_headings":"","what":"Run multi-dimensional scaling(MDS) — RunMDS","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Run MDS dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"","code":"RunMDS(object, ...)  # S3 method for Seurat RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"mds\",   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunMDS(   object,   assay = NULL,   slot = \"data\",   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   seed.use = 42,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"object object ...  assay Name Assay mds run . slot Name slot mds run . features Features compute mds . features=NULL, mds run using variable features Assay. nmds Total Number MDS compute store (50 default). rev.mds default computes mds cell x gene matrix. Setting true compute gene x cell matrix. ndims.print MDS print genes . nfeatures.print Number genes print MDS. reduction.name dimensional reduction name, 'mds' default reduction.key dimensional reduction key, specifies string number dimension names. \"MDS_\" default. verbose Print top genes associated high/low loadings MDS. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Returns Seurat object MDS calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle2 analysis — RunMonocle2","title":"Run Monocle2 analysis — RunMonocle2","text":"Run Monocle2 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"RunMonocle2(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   expressionFamily = \"negbinomial.size\",   features = NULL,   feature_type = \"HVF\",   disp_filter = \"mean_expression >= 0.1 & dispersion_empirical >= 1 * dispersion_fit\",   max_components = 2,   reduction_method = \"DDRTree\",   norm_method = \"log\",   residualModelFormulaStr = NULL,   pseudo_expr = 1,   root_state = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle2 analysis — RunMonocle2","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   pancreas_sub <- RunMonocle2(srt = pancreas_sub, annotation = \"CellType\")   names(pancreas_sub@tools$Monocle2)   trajectory <- pancreas_sub@tools$Monocle2$trajectory    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3)    pancreas_sub <- RunMonocle2(     srt = pancreas_sub, annotation = \"CellType\",     feature_type = \"Disp\", disp_filter = \"mean_expression >= 0.01 & dispersion_empirical >= 1 * dispersion_fit\"   )   trajectory <- pancreas_sub@tools$Monocle2$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle3 analysis — RunMonocle3","title":"Run Monocle3 analysis — RunMonocle3","text":"Run Monocle3 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"RunMonocle3(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   reduction = DefaultReduction(srt),   clusters = NULL,   graph = NULL,   partition_qval = 0.05,   k = 50,   cluster_method = \"louvain\",   num_iter = 2,   resolution = NULL,   use_partition = NULL,   close_loop = TRUE,   learn_graph_control = NULL,   root_pr_nodes = NULL,   root_cells = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle3 analysis — RunMonocle3","text":"clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   # Use Monocle clusters to infer the trajectories   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", reduction = \"UMAP\")   names(pancreas_sub@tools$Monocle3)   trajectory <- pancreas_sub@tools$Monocle3$trajectory   milestones <- pancreas_sub@tools$Monocle3$milestones    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory + milestones   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Select the lineage using monocle3::choose_graph_segments   cds <- pancreas_sub@tools$Monocle3$cds   cds_sub <- monocle3::choose_graph_segments(cds, starting_pr_node = NULL, ending_pr_nodes = NULL)   pancreas_sub$Lineages_1 <- NA   pancreas_sub$Lineages_1[colnames(cds_sub)] <- pancreas_sub$Monocle3_Pseudotime[colnames(cds_sub)]   CellDimPlot(pancreas_sub, group.by = \"SubCellType\", lineages = \"Lineages_1\", lineages_span = 0.1, theme_use = \"theme_blank\")    # Use Seurat clusters to infer the trajectories   pancreas_sub <- Standard_SCP(pancreas_sub)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE, theme_use = \"theme_blank\")   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", clusters = \"Standardclusters\")   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Use custom graphs and cell clusters to infer the partitions and trajectories, respectively   pancreas_sub <- Standard_SCP(pancreas_sub, cluster_resolution = 5)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE)   pancreas_sub <- RunMonocle3(     srt = pancreas_sub, annotation = \"CellType\",     clusters = \"Standardclusters\", graph = \"Standardpca_SNN\"   )   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Non-negative matrix factorization(NMF) — RunNMF","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Run NMF dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"","code":"RunNMF(object, ...)  # S3 method for Seurat RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"nmf\",   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunNMF(   object,   assay = NULL,   slot = \"data\",   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"object object ...  assay Name Assay nmf run . slot Name slot nmf run . features Features compute nmf . features=NULL, nmf run using variable features Assay. nbes Total Number BEs(\"basis experiment\", aka \"metagene\") compute store (50 default). rev.nmf default computes nmf cell x gene matrix. Setting true compute gene x cell matrix. ndims.print BEs print genes . nfeatures.print Number genes print . reduction.name dimensional reduction name, 'nmf' default reduction.key dimensional reduction key, specifies string number dimension names. \"BE_\" default. verbose Print top genes associated high/low loadings BEs. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Returns Seurat object NMF calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PAGA analysis — RunPAGA","title":"Run PAGA analysis — RunPAGA","text":"Run PAGA analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PAGA analysis — RunPAGA","text":"","code":"RunPAGA(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   use_rna_velocity = FALSE,   vkey = \"stochastic\",   embedded_with_PAGA = FALSE,   paga_layout = \"fr\",   threshold = 0.1,   point_size = 20,   infer_pseudotime = FALSE,   root_group = NULL,   root_cell = NULL,   n_dcs = 10,   n_branchings = 0,   min_group_size = 0.01,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PAGA analysis — RunPAGA","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. use_rna_velocity use_rna_velocity. vkey Key velocity. Default \"stochastic\". paga_layout Plotting layout computes positions. See See layout param scanpy.pl.paga function. threshold edge threshold. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run PAGA analysis — RunPAGA","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run PAGA analysis — RunPAGA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")  PAGAPlot(pancreas_sub, reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)   pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   embedded_with_PAGA = TRUE, infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase dpt_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M     0.08858810 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1     0.61145532 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M     0.10923140 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1     0.86335427 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M     0.03584586 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1     0.03778159 names(pancreas_sub@reductions) #> [1] \"PCA\"           \"UMAP\"          \"draw_graph_fr\" \"PAGAUMAP2D\"    \"diffmap\"       FeatureDimPlot(pancreas_sub, features = \"dpt_pseudotime\", reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PAGAUMAP2D\", paga = pancreas_sub@misc$paga)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with PCA method — RunPCAMap","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"Single-cell reference mapping PCA method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"RunPCAMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 19:34:35.607852] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunPCAMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PHATE — RunPHATE","title":"Run PHATE — RunPHATE","text":"Run PHATE","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PHATE — RunPHATE","text":"","code":"RunPHATE(object, ...)  # S3 method for Seurat RunPHATE(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.name = \"phate\",   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPHATE(   object,   assay = NULL,   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PHATE — RunPHATE","text":"object  ...  max_clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PaCMAP — RunPaCMAP","title":"Run PaCMAP — RunPaCMAP","text":"Run PaCMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PaCMAP — RunPaCMAP","text":"","code":"RunPaCMAP(object, ...)  # S3 method for Seurat RunPaCMAP(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.name = \"pacmap\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPaCMAP(   object,   assay = NULL,   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PaCMAP — RunPaCMAP","text":"object  ...  assay  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Palantir analysis — RunPalantir","title":"Run Palantir analysis — RunPalantir","text":"Run Palantir analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Palantir analysis — RunPalantir","text":"","code":"RunPalantir(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   dm_n_components = 10,   dm_alpha = 0,   dm_n_eigs = NULL,   early_group = NULL,   terminal_groups = NULL,   early_cell = NULL,   terminal_cells = NULL,   num_waypoints = 1200,   scale_components = TRUE,   use_early_cell_as_start = TRUE,   adjust_early_cell = FALSE,   adjust_terminal_cells = FALSE,   max_iterations = 25,   n_jobs = 8,   point_size = 20,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Palantir analysis — RunPalantir","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. n_jobs n_jobs. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Palantir analysis — RunPalantir","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Palantir analysis — RunPalantir","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPalantir(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   early_group = \"Ductal\", use_early_cell_as_start = TRUE,   terminal_groups = c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\") ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase palantir_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M          0.25910808 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1          0.49968980 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M          0.29036675 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1          0.69014101 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M          0.11107706 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1          0.03843483 #>                  palantir_diff_potential Delta_diff_potential Epsilon_diff_potential Alpha_diff_potential #> CAGCCGAAGCGATATA               1.1828661            0.3363345             0.09180837           0.10830487 #> AGTGTCATCGCCGTGA               1.1772545            0.3362934             0.08943487           0.10713285 #> GATGAAAAGTTGTAGA               1.1828661            0.3363345             0.09180837           0.10830487 #> CACAGTACATCCGTGG               0.9354271            0.2798339             0.02801623           0.06885154 #> CGGAGCTCATTGGGCC               1.1828661            0.3363345             0.09180837           0.10830487 #> AGAGCTTGTGTGACCC               1.1828661            0.3363345             0.09180837           0.10830487 #>                  Beta_diff_potential #> CAGCCGAAGCGATATA           0.4635523 #> AGTGTCATCGCCGTGA           0.4671389 #> GATGAAAAGTTGTAGA           0.4635523 #> CACAGTACATCCGTGG           0.6232984 #> CGGAGCTCATTGGGCC           0.4635523 #> AGAGCTTGTGTGACCC           0.4635523 FeatureDimPlot(pancreas_sub, c(\"palantir_pseudotime\", \"palantir_diff_potential\"))  FeatureDimPlot(pancreas_sub, paste0(c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\"), \"_diff_potential\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSCExplorer — RunSCExplorer","title":"RunSCExplorer — RunSCExplorer","text":"RunSCExplorer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSCExplorer — RunSCExplorer","text":"","code":"RunSCExplorer(   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   title = \"SCExplorer\",   initial_dataset = NULL,   initial_reduction = NULL,   initial_group = NULL,   initial_feature = NULL,   initial_assay = NULL,   initial_slot = NULL,   initial_label = \"No\",   initial_cell_palette = \"Paired\",   initial_feature_palette = \"Spectral\",   initial_theme = \"theme_scp\",   initial_size = 4,   initial_ncol = 3,   initial_arrange = \"Row\",   initial_dpi = 100,   workers = 2,   threads_per_workers = 10,   create_script = TRUE,   style_script = require(\"styler\", quietly = TRUE),   overwrite = FALSE,   return_app = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSCExplorer — RunSCExplorer","text":"workers","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSCExplorer — RunSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\")  PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\", overwrite = TRUE)  # Create the app.R script app <- RunSCExplorer(base_dir = \"./SCExplorer\", workers = 2, overwrite = TRUE) list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  # Run shiny app if (interactive()) {   shiny::runApp(app) } # Note: If SCP installed in the isolated environment using renv, you need to add `renv::activate(project = \"path/to/SCP_env\")` to the app.R script.  #################################################################################################################### # You can deploy the app on the self-hosted shiny server(https://www.rstudio.com/products/shiny/shiny-server/). # Or deploy the app on the website(https://www.shinyapps.io) for free:  ### step1: set the repository URL for Bioconductor packages and update them to the latest version # options(repos = BiocManager::repositories()) # BiocManager::install(ask = FALSE)  ### step2: install \"rsconnect\" package and authorize your account # install.packages(\"rsconnect\") # library(rsconnect) # setAccountInfo(name = \"\", token = \"\", secret = \"\")  ### step3: deploy the app # deployApp(\"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":null,"dir":"Reference","previous_headings":"","what":"Run scVelo analysis — RunSCVELO","title":"Run scVelo analysis — RunSCVELO","text":"scVelo scalable toolkit RNA velocity analysis single cells. function performs scVelo workflow R reticulate.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run scVelo analysis — RunSCVELO","text":"","code":"RunSCVELO(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   mode = \"stochastic\",   fitting_by = \"stochastic\",   magic_impute = FALSE,   knn = 5,   t = 2,   min_shared_counts = 30,   n_pcs = 30,   n_neighbors = 30,   approx = TRUE,   stream_smooth = NULL,   stream_density = 2,   arrow_length = 5,   arrow_size = 5,   arrow_density = 0.5,   denoise = FALSE,   denoise_topn = 3,   kinetics = FALSE,   kinetics_topn = 100,   calculate_velocity_genes = FALSE,   top_n = 6,   n_jobs = 1,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run scVelo analysis — RunSCVELO","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. mode mode. fitting_by fitting_by. min_shared_counts min_shared_counts. n_pcs n_pcs. n_neighbors n_neighbors. approx approx. stream_smooth stream_smooth. stream_density stream_density. arrow_length arrow_length. arrow_size arrow_size. arrow_density arrow_density. calculate_velocity_genes calculate_velocity_genes. n_jobs n_jobs. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat  h5ad h5ad file path.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run scVelo analysis — RunSCVELO","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run scVelo analysis — RunSCVELO","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase initial_size_unspliced #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M                   1587 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1                   1199 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M                   2166 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1                   1339 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M                    976 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1                    822 #>                  initial_size_spliced initial_size n_counts root_cells   end_points stochastic_self_transition #> CAGCCGAAGCGATATA                10653        10653 4571.989          0 1.452156e-03                  0.4485805 #> AGTGTCATCGCCGTGA                 4596         4596 4538.002          0 4.700293e-05                  0.3937627 #> GATGAAAAGTTGTAGA                14091        14091 4556.545          0 3.551841e-03                  0.7711352 #> CACAGTACATCCGTGG                 5484         5484 4488.308          0 1.154690e-03                  0.2689254 #> CGGAGCTCATTGGGCC                 7357         7357 4579.191          0 3.440304e-04                  0.2470511 #> AGAGCTTGTGTGACCC                 6498         6498 4593.732          0 1.423519e-04                  0.4078819 #>                  stochastic_length stochastic_confidence stochastic_confidence_transition stochastic_root_cells #> CAGCCGAAGCGATATA              4.17             0.8269730                       0.06003009                     0 #> AGTGTCATCGCCGTGA             18.09             0.9360172                       0.13206813                     0 #> GATGAAAAGTTGTAGA              4.66             0.8642706                       0.04803392                     0 #> CACAGTACATCCGTGG              6.85             0.7111084                       0.35759005                     0 #> CGGAGCTCATTGGGCC              7.28             0.7939473                       0.19816431                     0 #> AGAGCTTGTGTGACCC              6.88             0.8454575                       0.11833344                     0 #>                  stochastic_end_points stochastic_pseudotime nCount_Ms nFeature_Ms nCount_Mu nFeature_Mu #> CAGCCGAAGCGATATA          1.452156e-03             0.2102930  4585.044        3685  892.5218        3535 #> AGTGTCATCGCCGTGA          4.700293e-05             0.7906109  4675.374        3549  961.4076        3239 #> GATGAAAAGTTGTAGA          3.551841e-03             0.1551773  4567.841        3666  899.8371        3414 #> CACAGTACATCCGTGG          1.154690e-03             0.8539678  4538.791        3743  934.1198        3572 #> CGGAGCTCATTGGGCC          3.440304e-04             0.2245581  4573.531        3585  882.0175        3157 #> AGAGCTTGTGTGACCC          1.423519e-04             0.2058769  4626.373        3669  899.8281        3394 #>                  nCount_stochastic nFeature_stochastic nCount_variance_stochastic nFeature_variance_stochastic #> CAGCCGAAGCGATATA         147.76477                1862                  118.07200                          425 #> AGTGTCATCGCCGTGA          70.10995                1542                  -27.08941                          209 #> GATGAAAAGTTGTAGA         140.92148                1752                  136.57796                          425 #> CACAGTACATCCGTGG         -35.27201                1435                  -61.89321                          243 #> CGGAGCTCATTGGGCC         185.67488                1857                   71.58423                          275 #> AGAGCTTGTGTGACCC         132.88978                1673                   31.84623                          266 #>                  nCount_velocity nFeature_velocity nCount_variance_velocity nFeature_variance_velocity #> CAGCCGAAGCGATATA       147.76477              1862                118.07200                        425 #> AGTGTCATCGCCGTGA        70.10995              1542                -27.08941                        209 #> GATGAAAAGTTGTAGA       140.92148              1752                136.57796                        425 #> CACAGTACATCCGTGG       -35.27201              1435                -61.89321                        243 #> CGGAGCTCATTGGGCC       185.67488              1857                 71.58423                        275 #> AGAGCTTGTGTGACCC       132.88978              1673                 31.84623                        266 names(pancreas_sub@assays) #> [1] \"RNA\"                 \"spliced\"             \"unspliced\"           \"Ms\"                  \"Mu\"                  #> [6] \"stochastic\"          \"variance_stochastic\" \"velocity\"            \"variance_velocity\"    FeatureDimPlot(pancreas_sub, c(\"stochastic_length\", \"stochastic_confidence\"))  FeatureDimPlot(pancreas_sub, \"stochastic_pseudotime\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 3 rows containing missing values (`geom_segment()`).   pancreas_sub <- Standard_SCP(pancreas_sub, normalization_method = \"SCT\", nonlinear_reduction = \"tsne\") #> [2023-09-08 19:36:15.657701] Start Standard_SCP #> [2023-09-08 19:36:15.65837] Checking srtList... ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Perform SCTransform on the data 1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:36:29.460421] Finished checking. #> [2023-09-08 19:36:29.460602] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:36:30.349577] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:36:30.52223] Reorder clusters... #> [2023-09-08 19:36:30.852001] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> [2023-09-08 19:36:40.415661] Standard_SCP done #> Elapsed time: 24.76 secs  pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"SCT\", group_by = \"SubCellType\", linear_reduction = \"Standardpca\", nonlinear_reduction = \"StandardTSNE2D\") #> Assay 'RNA' is in the srt object but not converted. #> Assay 'Ms' is in the srt object but not converted. #> Assay 'Mu' is in the srt object but not converted. #> Assay 'stochastic' is in the srt object but not converted. #> Assay 'variance_stochastic' is in the srt object but not converted. #> Assay 'velocity' is in the srt object but not converted. #> Assay 'variance_velocity' is in the srt object but not converted. #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunScmap","title":"Annotate single cells using scmap. — RunScmap","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"RunScmap(   srt_query,   srt_ref,   ref_group = NULL,   method = \"scmapCluster\",   n_features = 500,   threshold = 0.5,   k = 10,   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunScmap","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 19:37:10.848613] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 19:37:11.650576] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:37:15.656481] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 19:37:17.639414] Start Standard_SCP #> [2023-09-08 19:37:17.639632] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:37:20.328742] Finished checking. #> [2023-09-08 19:37:20.328958] Perform ScaleData on the data... #> [2023-09-08 19:37:20.589585] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:37:21.483434] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:37:21.631044] Reorder clusters... #> [2023-09-08 19:37:21.835818] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:37:31.365356] Standard_SCP done #> Elapsed time: 13.73 secs  pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCluster\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCluster on the data... #> Perform scmapCluster on the data... #> Warning: Features Adcyap1, Cfc1, Col6a2, Col6a3, Crp, Ctrc, Gsta1, Lcn2, Loxl4, Mafa, Mt-atp6, Mt-co1, Mt-co2, Mt-co3, Mt-nd1, Mt-nd2, Mt-nd4, Mt-nd4l, Mt-nd5, Muc13, Serpina5, Tacstd2 are not present in the 'SCESet' object and therefore were not set. CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")   pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCell\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCell on the data... #> Perform scmapCell on the data... #> Perform scmapCell2Cluster on the data... CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Seurat method — RunSeuratMap","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"Single-cell reference mapping Seurat method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"RunSeuratMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   normalization.method = \"LogNormalize\",   reduction_project_method = \"pcaproject\",   k.anchor = 5,   k.filter = 200,   k.score = 30,   k.weight = 100,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 19:37:44.055578] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSeuratMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\", k.weight = 50) #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunSingleR","title":"Annotate single cells using scmap. — RunSingleR","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"RunSingleR(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   genes = \"de\",   de.method = \"wilcox\",   sd.thresh = 1,   de.n = NULL,   aggr.ref = FALSE,   aggr.args = list(),   quantile = 0.8,   fine.tune = TRUE,   tune.thresh = 0.05,   prune = TRUE,   BPPARAM = BiocParallel::bpparam(),   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunSingleR","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 19:37:46.000779] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 19:37:46.616419] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:37:50.748483] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 19:37:52.730765] Start Standard_SCP #> [2023-09-08 19:37:52.730983] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:37:53.718778] Finished checking. #> [2023-09-08 19:37:53.718988] Perform ScaleData on the data... #> [2023-09-08 19:37:53.836396] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:37:54.64579] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:37:54.76634] Reorder clusters... #> [2023-09-08 19:37:54.986545] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:38:04.478041] Standard_SCP done #> Elapsed time: 11.75 secs  pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"Standardclusters\", ref_group = \"celltype\", ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCluster on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")   pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = NULL, ref_group = \"celltype\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCell on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSlingshot — RunSlingshot","title":"RunSlingshot — RunSlingshot","text":"RunSlingshot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSlingshot — RunSlingshot","text":"","code":"RunSlingshot(   srt,   group.by,   reduction = NULL,   dims = NULL,   start = NULL,   end = NULL,   prefix = NULL,   reverse = FALSE,   align_start = FALSE,   show_plot = TRUE,   lineage_palette = \"Dark2\",   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSlingshot — RunSlingshot","text":"dims","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSlingshot — RunSlingshot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PCA\", dims = 1:10)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:2), lineages_span = 0.1)   # 3D lineage pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 19:38:35.655392] Start Standard_SCP #> [2023-09-08 19:38:35.655574] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:38:36.748512] Finished checking. #> [2023-09-08 19:38:36.748724] Perform ScaleData on the data... #> [2023-09-08 19:38:36.915292] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:38:37.683792] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:38:37.807107] Reorder clusters... #> [2023-09-08 19:38:37.99791] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:38:47.671772] Standard_SCP done #> Elapsed time: 12.02 secs  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1, lineages_trim = c(0.05, 0.95))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Symphony method — RunSymphonyMap","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"Single-cell reference mapping Symphony method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"RunSymphonyMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_harmony = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"vote_fun","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\") #> [2023-09-08 19:38:53.195436] Start Harmony_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSymphonyMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Harmonypca\", ref_harmony = \"Harmony\", ref_umap = \"HarmonyUMAP2D\") #> Error: Cannot find 'Harmonypca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Run TriMap — RunTriMap","title":"Run TriMap — RunTriMap","text":"Run TriMap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run TriMap — RunTriMap","text":"","code":"RunTriMap(object, ...)  # S3 method for Seurat RunTriMap(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.name = \"trimap\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunTriMap(   object,   assay = NULL,   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run TriMap — RunTriMap","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run UMAP — RunUMAP2","title":"Run UMAP — RunUMAP2","text":"Run UMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run UMAP — RunUMAP2","text":"","code":"RunUMAP2(object, ...)  # S3 method for Seurat RunUMAP2(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   neighbor = NULL,   graph = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"umap\",   reduction.key = \"UMAP_\",   ... )  # S3 method for default RunUMAP2(   object,   assay = NULL,   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.key = \"UMAP_\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run UMAP — RunUMAP2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":null,"dir":"Reference","previous_headings":"","what":"Run WOT analysis — RunWOT","title":"Run WOT analysis — RunWOT","text":"Run WOT analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run WOT analysis — RunWOT","text":"","code":"RunWOT(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   time_field = \"Time\",   growth_iters = 3L,   tmap_out = \"tmaps/tmap_out\",   time_from = 1,   time_to = NULL,   get_coupling = FALSE,   recalculate = FALSE,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run WOT analysis — RunWOT","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run WOT analysis — RunWOT","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"SankeyPlot — SankeyPlot","title":"SankeyPlot — SankeyPlot","text":"SankeyPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SankeyPlot — SankeyPlot","text":"","code":"SankeyPlot(node, edge, node_group = NULL, group_list = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SankeyPlot — SankeyPlot","text":"group_list","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Scanorama_integrate — Scanorama_integrate","title":"Scanorama_integrate — Scanorama_integrate","text":"Scanorama_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Scanorama_integrate — Scanorama_integrate","text":"","code":"Scanorama_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   Scanorama_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   return_corrected = FALSE,   scanorama_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Scanorama_integrate — Scanorama_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Seurat_integrate — Seurat_integrate","title":"Seurat_integrate — Seurat_integrate","text":"Seurat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Seurat_integrate — Seurat_integrate","text":"","code":"Seurat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   FindIntegrationAnchors_params = list(),   IntegrateData_params = list(),   IntegrateEmbeddings_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Seurat_integrate — Seurat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":null,"dir":"Reference","previous_headings":"","what":"Append a Seurat object to another — SrtAppend","title":"Append a Seurat object to another — SrtAppend","text":"Append Seurat object another","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Append a Seurat object to another — SrtAppend","text":"","code":"SrtAppend(   srt_raw,   srt_append,   slots = slotNames(srt_append),   pattern = NULL,   overwrite = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Append a Seurat object to another — SrtAppend","text":"srt_raw Seurat object appended. srt_append New Seurat object append. slots slots names. pattern character string containing regular expression. data matching names considered appending. overwrite Whether overwrite. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":null,"dir":"Reference","previous_headings":"","what":"Reorder idents by the gene expression — SrtReorder","title":"Reorder idents by the gene expression — SrtReorder","text":"Reorder idents gene expression","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Reorder idents by the gene expression — SrtReorder","text":"","code":"SrtReorder(   srt,   features = NULL,   reorder_by = NULL,   slot = \"data\",   assay = NULL,   log = TRUE,   distance_metric = \"euclidean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Reorder idents by the gene expression — SrtReorder","text":"srt Seurat object. features Features used reorder idents. reorder_by Reorder groups instead idents. slot Specific slot get data . assay Specific assay get data . log Whether log1p transformation needs applied. Default TRUE. distance_metric Metric compute distance. Default \"euclidean\".","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard_SCP — Standard_SCP","title":"Standard_SCP — Standard_SCP","text":"Single cell pipeline single dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standard_SCP — Standard_SCP","text":"","code":"Standard_SCP(   srt,   prefix = \"Standard\",   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_method = \"vst\",   nHVF = 2000,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard_SCP — Standard_SCP","text":"srt Seurat object. prefix prefix used name result. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standard_SCP — Standard_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Standard_SCP — Standard_SCP","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(srt = pancreas_sub) #> [2023-09-08 19:38:55.921955] Start Standard_SCP #> [2023-09-08 19:38:55.922157] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:38:56.908358] Finished checking. #> [2023-09-08 19:38:56.908568] Perform ScaleData on the data... #> [2023-09-08 19:38:57.021552] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:38:57.839339] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:38:57.958916] Reorder clusters... #> [2023-09-08 19:38:58.147127] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:39:07.76297] Standard_SCP done #> Elapsed time: 11.84 secs  CellDimPlot(pancreas_sub, group.by = \"SubCellType\")   # Use a combination of different linear or non-linear dimension reduction methods linear_reductions <- c(\"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = linear_reductions,   nonlinear_reduction = \"umap\" ) #> [2023-09-08 19:39:08.013504] Start Standard_SCP #> [2023-09-08 19:39:08.0137] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:39:08.949157] Finished checking. #> [2023-09-08 19:39:08.949365] Perform ScaleData on the data... #> [2023-09-08 19:39:09.111541] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:39:09.966867] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:39:10.106342] Reorder clusters... #> [2023-09-08 19:39:10.333676] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:39:19.652532] Perform linear dimension reduction (ica) on the data... #> [2023-09-08 19:39:22.682996] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:39:22.894897] Reorder clusters... #> [2023-09-08 19:39:23.147969] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> [2023-09-08 19:39:32.533279] Perform linear dimension reduction (nmf) on the data... #>  #> Attaching package: ‘Matrix’ #> The following object is masked from ‘package:S4Vectors’: #>  #>     expand #> [2023-09-08 19:39:46.789663] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:39:46.964127] Reorder clusters... #> [2023-09-08 19:39:47.273722] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> [2023-09-08 19:39:56.636338] Perform linear dimension reduction (mds) on the data... #> [2023-09-08 19:40:01.863487] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:40:02.048198] Reorder clusters... #> [2023-09-08 19:40:02.420287] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> [2023-09-08 19:40:11.729199] Perform linear dimension reduction (glmpca) on the data... #> Install package: \"glmpca\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'glmpca' #> [2023-09-08 19:41:54.269991] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:41:54.537275] Reorder clusters... #> [2023-09-08 19:41:55.536369] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> [2023-09-08 19:42:05.298949] Standard_SCP done #> Elapsed time: 2.95 mins  plist1 <- lapply(linear_reductions, function(lr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standard\", lr, \"UMAP2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist1)   nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = \"pca\",   nonlinear_reduction = nonlinear_reductions ) #> [2023-09-08 19:42:07.4535] Start Standard_SCP #> [2023-09-08 19:42:07.45372] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 19:42:09.698119] Finished checking. #> [2023-09-08 19:42:09.698369] Perform ScaleData on the data... #> [2023-09-08 19:42:10.522735] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 19:42:12.441185] Perform FindClusters (louvain) on the data... #> [2023-09-08 19:42:12.664724] Reorder clusters... #> [2023-09-08 19:42:13.104625] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:42:22.882907] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:42:32.30458] Perform nonlinear dimension reduction (dm) on the data... #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> Warning: 'as(, \"dsTMatrix\")' is deprecated. #> Use 'as(., \"TsparseMatrix\")' instead. #> See help(\"Deprecated\") and help(\"Matrix-deprecated\"). #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:42:34.251733] Perform nonlinear dimension reduction (phate) on the data... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> Try to install phate ... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:43:09.66068] Perform nonlinear dimension reduction (pacmap) on the data... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> Try to install pacmap ... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:43:48.84705] Perform nonlinear dimension reduction (trimap) on the data... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> Try to install trimap ... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:44:14.758324] Perform nonlinear dimension reduction (largevis) on the data... #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 19:51:06.905173] Perform nonlinear dimension reduction (fr) on the data... #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> [2023-09-08 19:51:11.042606] Standard_SCP done #> Elapsed time: 9.06 mins  plist2 <- lapply(nonlinear_reductions, function(nr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standardpca\", toupper(nr), \"2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist2)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"StatPlot — StatPlot","title":"StatPlot — StatPlot","text":"StatPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"StatPlot — StatPlot","text":"","code":"StatPlot(   meta.data,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"StatPlot — StatPlot","text":"meta.data  seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"StatPlot — StatPlot","text":"","code":"data(\"pancreas_sub\") head(pancreas_sub@meta.data) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1 StatPlot(pancreas_sub@meta.data, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", label = TRUE)   head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes #> Mrpl15                        False #> Npbwr1                          #> 4732440D04Rik                 False #> Gm26901                       False #> Sntg1                          True #> Mybl1                         False StatPlot(pancreas_sub[[\"RNA\"]]@meta.features, stat.by = \"highly_variable_genes\", plot_type = \"ring\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", IDtype = \"symbol\", db = \"GeneType\") #> Species: Mus_musculus #> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-08 18:17:57.975793 head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes       GeneType #> Mrpl15                        False protein-coding #> Npbwr1                          protein-coding #> 4732440D04Rik                 False            #> Gm26901                       False            #> Sntg1                          True protein-coding #> Mybl1                         False protein-coding StatPlot(pancreas_sub[[\"RNA\"]]@meta.features,   stat.by = \"highly_variable_genes\", group.by = \"GeneType\",   stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE, NA_stat = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Uncorrected_integrate — Uncorrected_integrate","title":"Uncorrected_integrate — Uncorrected_integrate","text":"Uncorrected_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Uncorrected_integrate — Uncorrected_integrate","text":"","code":"Uncorrected_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Uncorrected_integrate — Uncorrected_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Velocity Plot — VelocityPlot","title":"Velocity Plot — VelocityPlot","text":"Velocity Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Velocity Plot — VelocityPlot","text":"","code":"VelocityPlot(   srt,   reduction,   dims = c(1, 2),   cells = NULL,   velocity = \"stochastic\",   plot_type = c(\"raw\", \"grid\", \"stream\"),   group_by = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   density = 1,   smooth = 0.5,   scale = 1,   min_mass = 1,   cutoff_perc = 5,   arrow_angle = 20,   arrow_color = \"black\",   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   aspect.ratio = 1,   title = \"Cell velocity\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Velocity Plot — VelocityPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Velocity Plot — VelocityPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ VelocityPlot(pancreas_sub, reduction = \"UMAP\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"grid\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\", arrow_color = \"red\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"VolcanoPlot — VolcanoPlot","title":"VolcanoPlot — VolcanoPlot","text":"VolcanoPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"VolcanoPlot — VolcanoPlot","text":"","code":"VolcanoPlot(   srt,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   x_metric = \"diff_pct\",   palette = \"RdBu\",   palcolor = NULL,   pt.size = 1,   pt.alpha = 1,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   nlabel = 5,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   xlab = x_metric,   ylab = \"-log10(p-adjust)\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"VolcanoPlot — VolcanoPlot","text":"byrow","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"VolcanoPlot — VolcanoPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 19:52:01.608367] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:52:09.784206] DEtest done #> Elapsed time:8.18 secs VolcanoPlot(pancreas_sub, group_by = \"CellType\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", DE_threshold = \"abs(diff_pct) > 0.3 & p_val_adj < 0.05\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", x_metric = \"avg_log2FC\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"Convert anndata object seurat object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"adata_to_srt(adata)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"adata connected python anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata <- RunPAGA(adata = adata, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") srt <- adata_to_srt(adata) srt #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 0 variable features) #>  2 other assays present: spliced, unspliced #>  3 dimensional reductions calculated: PCA, UMAP, draw_graph_fr  ### Or convert a h5ad file to Seurat object # library(reticulate) # check_Python(\"scanpy\") # sc <- import(\"scanpy\") # adata <- sc$read_h5ad(\"pancreas.h5ad\") # srt <- adata_to_srt(adata) # srt"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a color with arbitrary transparency to a fixed color — adjcolors","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"Convert color arbitrary transparency fixed color","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"adjcolors(colors, alpha)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"colors Color vectors. alpha Alpha level [0,1]","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"colors <- c(\"red\", \"blue\", \"green\") adjcolors(colors, 0.5) #>        V1        V2        V3  #> \"#FF8080\" \"#8080FF\" \"#80FF80\"   library(scales) alpha(colors, 0.5) #> [1] \"#FF000080\" \"#0000FF80\" \"#00FF0080\"  show_palettes(list(colors, adjcolors(colors, 0.5), alpha(colors, 0.5)))  #> [1] \"1\" \"2\" \"3\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"Attempts turn dgCMatrix dense matrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"","code":"as_matrix(matrix)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"matrix dgCMatrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Blend colors — blendcolors","title":"Blend colors — blendcolors","text":"Blend colors","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blend colors — blendcolors","text":"","code":"blendcolors(colors, mode = c(\"blend\", \"average\", \"screen\", \"multiply\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blend colors — blendcolors","text":"colors Color vectors. mode Blend mode.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blend colors — blendcolors","text":"","code":"blend <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"blend\")) average <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"average\")) screen <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"screen\")) multiply <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"multiply\")) show_palettes(list(\"blend\" = blend, \"average\" = average, \"screen\" = screen, \"multiply\" = multiply))  #> [1] \"blend\"    \"average\"  \"screen\"   \"multiply\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":null,"dir":"Reference","previous_headings":"","what":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"Capitalizes characters Making first letter uppercase","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"capitalize(x, force_tolower = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"x vector character strings capitalized. force_tolower Whether force remaining letters lowercase.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"x <- c(\"dna methylation\", \"rRNA processing\", \"post-Transcriptional gene silencing\") capitalize(x) #> [1] \"Dna methylation\"                     \"rRNA processing\"                     \"Post-Transcriptional gene silencing\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and report the type of data — check_DataType","title":"Check and report the type of data — check_DataType","text":"Check report type data","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and report the type of data — check_DataType","text":"","code":"check_DataType(srt, data = NULL, slot = \"data\", assay = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and report the type of data — check_DataType","text":"srt Seurat object data Use data instead getting Seurat object. slot Specific slot get data . assay Specific assay get data .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install python packages — check_Python","title":"Check and install python packages — check_Python","text":"Check install python packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install python packages — check_Python","text":"","code":"check_Python(   packages,   envname = NULL,   conda = \"auto\",   force = FALSE,   pip = TRUE,   pip_options = character(),   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install python packages — check_Python","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. force Whether force package installation. Default FALSE. pip Whether use pip package installation. default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check and install python packages — check_Python","text":"","code":"check_Python(packages = c(\"bbknn\", \"scanorama\")) #> Try to install bbknn,scanorama ... if (FALSE) { check_Python(packages = \"scvi-tools==0.20.0\", envname = \"SCP_env\", pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install R packages — check_R","title":"Check and install R packages — check_R","text":"Check install R packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install R packages — check_R","text":"","code":"check_R(   packages,   package_names = NULL,   install_methods = c(\"BiocManager::install\", \"install.packages\",     \"devtools::install_github\"),   lib = .libPaths()[1],   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install R packages — check_R","text":"packages Package installed. Package source can CRAN, Bioconductor Github, e.g. scmap, davidsjoberg/ggsankey. package_names name package corresponds packages parameter, used check package already installed. default, package name extracted according packages parameter. install_methods Functions used install R packages. lib location library directories install packages. force Whether force installation packages. Default FALSE.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a list of seurat objects — check_srtList","title":"Check and preprocess a list of seurat objects — check_srtList","text":"Check preprocess list seurat objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a list of seurat objects — check_srtList","text":"","code":"check_srtList(   srtList,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a list of seurat objects — check_srtList","text":"srtList list Seurat object. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a merged seurat object — check_srtMerge","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"Check preprocess merged seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"","code":"check_srtMerge(   srtMerge,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"Compute velocity grid original python code https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"","code":"compute_velocity_on_grid(   X_emb,   V_emb,   density = NULL,   smooth = NULL,   n_neighbors = NULL,   min_mass = NULL,   scale = 1,   adjust_for_stream = FALSE,   cutoff_perc = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"cutoff_perc","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":null,"dir":"Reference","previous_headings":"","what":"Installs a list of packages into a specified conda environment — conda_install","title":"Installs a list of packages into a specified conda environment — conda_install","text":"Installs list packages specified conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Installs a list of packages into a specified conda environment — conda_install","text":"","code":"conda_install(   envname = NULL,   packages,   forge = TRUE,   channel = character(),   pip = FALSE,   pip_options = character(),   pip_ignore_installed = FALSE,   conda = \"auto\",   python_version = NULL,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Installs a list of packages into a specified conda environment — conda_install","text":"envname name , path , conda environment. packages character vector, indicating package names installed removed. Use  == request installation specific version package. NULL value conda_remove() interpretted \"--\", removing entire environment. forge Boolean; include conda-forge repository? channel optional character vector conda channels include. specified, forge argument ignored. need specify multiple channels, including conda forge, can use c(\"conda-forge\", ). pip Boolean; use pip package installation? default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. pip_ignore_installed Ignore already-installed versions using pip? (defaults FALSE). Set TRUE specific package versions can installed even downgrades. FALSE option useful situations want pip install attempt overwrite conda binary package (e.g. SciPy Windows difficult install via pip due compilation requirements). conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. python_version version Python installed. Set like change version Python associated particular conda environment. ... Optional arguments, reserved future expansion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the path to Python associated with a conda environment — conda_python","title":"Find the path to Python associated with a conda environment — conda_python","text":"Find path Python associated conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the path to Python associated with a conda environment — conda_python","text":"","code":"conda_python(envname = NULL, conda = \"auto\", all = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the path to Python associated with a conda environment — conda_python","text":"envname name , path , conda environment. conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. Boolean; report instances Python found?","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with DoubletDetection — db_DoubletDetection","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"Run doublet-calling DoubletDetection","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"db_DoubletDetection(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_DoubletDetection(pancreas_sub) #> Try to install doubletdetection ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.DoubletDetection_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.DoubletDetection_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with Scrublet — db_Scrublet","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"Run doublet-calling Scrublet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"db_Scrublet(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_Scrublet(pancreas_sub) #> Try to install scrublet ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.Scrublet_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.Scrublet_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scDblFinder — db_scDblFinder","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"Run doublet-calling scDblFinder","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"db_scDblFinder(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scDblFinder(pancreas_sub) CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scds — db_scds","title":"Run doublet-calling with scds — db_scds","text":"Run doublet-calling scds","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scds — db_scds","text":"","code":"db_scds(   srt,   assay = \"RNA\",   db_rate = ncol(srt)/1000 * 0.01,   method = \"hybrid\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scds — db_scds","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scds — db_scds","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scds(pancreas_sub, method = \"hybrid\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scds_hybrid_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scds_hybrid_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download File from the Internet — download","title":"Download File from the Internet — download","text":"Download File Internet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download File from the Internet — download","text":"","code":"download(   url,   destfile,   methods = c(\"auto\", \"wget\", \"libcurl\", \"curl\", \"wininet\", \"internal\"),   quiet = FALSE,   ...,   max_tries = 2 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download File from the Internet — download","text":"url character string (longer vector e.g.,     \"libcurl\" method) naming URL resource     downloaded. destfile character string (vector, see url     argument) file path downloaded file     saved.  Tilde-expansion performed. methods Methods used downloading files. default try different download methods turn download successfully completed. quiet TRUE, suppress status messages (),     progress bar. ... arguments passed download.file max_tries Number tries download method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop all data in the plot (only one observation is kept) — drop_data","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"Drop data plot (one observation kept)","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"drop_data(p)  # S3 method for ggplot drop_data(p)  # S3 method for patchwork drop_data(p)  # S3 method for default drop_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   scale_x_continuous(limits = c(10, 30)) +   scale_y_continuous(limits = c(1, 6)) +   theme_scp() object.size(p) #> 39064 bytes  p_drop <- drop_data(p) object.size(p_drop) #> 34016 bytes  p / p_drop #> Warning: Removed 4 rows containing missing values (`geom_point()`)."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if a conda environment exists — env_exist","title":"Check if a conda environment exists — env_exist","text":"Check conda environment exists","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if a conda environment exists — env_exist","text":"","code":"env_exist(conda = \"auto\", envname = NULL, envs_dir = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if a conda environment exists — env_exist","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. envname name conda environment. envs_dir Directories conda environments located.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if the python package exists in the environment — exist_Python_pkgs","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"Check python package exists environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"","code":"exist_Python_pkgs(packages, envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"fastMNN_integrate — fastMNN_integrate","title":"fastMNN_integrate — fastMNN_integrate","text":"fastMNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"fastMNN_integrate — fastMNN_integrate","text":"","code":"fastMNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   fastMNN_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   fastMNN_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"fastMNN_integrate — fastMNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":null,"dir":"Reference","previous_headings":"","what":"Find an appropriate conda binary — find_conda","title":"Find an appropriate conda binary — find_conda","text":"Find appropriate conda binary","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find an appropriate conda binary — find_conda","text":"","code":"find_conda()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial — geom_alluvial","title":"geom_alluvial — geom_alluvial","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial — geom_alluvial","text":"","code":"geom_alluvial(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial — geom_alluvial","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial — geom_alluvial","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial_label — geom_alluvial_label","title":"geom_alluvial_label — geom_alluvial_label","text":"Creates centered labels text nodes alluvial plot. Needs exact aestethics call `geom_alluvial` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial_label — geom_alluvial_label","text":"","code":"geom_alluvial_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )  geom_alluvial_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial_label — geom_alluvial_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial_label — geom_alluvial_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_alluvial_label — geom_alluvial_label","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey Creates sankey plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction. default row data frame counted calculate size flows. manual flow value can added `value` aesthetic.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"","code":"geom_sankey(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type either 'sankey' 'alluvial' width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geom","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"aesthetics","dir":"Reference","previous_headings":"","what":"Aesthetics","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey understand following aesthetics (required aesthetics bold): - **x0** - **y0** - **** - **b** - **angle** - m1 - m2 - color - fill - size - linetype - alpha - lineend","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_bump — geom_sankey_bump","title":"geom_sankey_bump — geom_sankey_bump","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_bump — geom_sankey_bump","text":"","code":"geom_sankey_bump(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   smooth = 8,   type = \"sankey\",   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_bump — geom_sankey_bump","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot smooth much smooth curve ? means steeper curve. type either 'sankey' 'alluvial' inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_bump — geom_sankey_bump","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_sankey_bump — geom_sankey_bump","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_label — geom_sankey_label","title":"geom_sankey_label — geom_sankey_label","text":"Creates centered labels text nodes sankey plot. Needs exact aestethics call `geom_sankey` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_label — geom_sankey_label","text":"","code":"geom_sankey_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )  geom_sankey_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_label — geom_sankey_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type Either `sankey` centers aroudn x axis `alluvial` starts y = 0 moves upward. width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_label — geom_sankey_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":null,"dir":"Reference","previous_headings":"","what":"Get used vars in a ggplot object — get_vars","title":"Get used vars in a ggplot object — get_vars","text":"Get used vars ggplot object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get used vars in a ggplot object — get_vars","text":"","code":"get_vars(p, reverse, verbose = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get used vars in a ggplot object — get_vars","text":"p ggplot object. reverse TRUE return unused vars. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of 'ifnb' datasets — ifnb_sub","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Human PBMC control/IFNB-stimulated dataset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"ifnb_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"https://www.nature.com/articles/nbt.4042","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"if (FALSE) { if (interactive()) {   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"ifnb\"))   data(\"ifnb\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(ifnb), ifnb$stim), function(x) sample(x, size = 1000)))   ifnb_sub <- subset(ifnb, cells = cells_sub)   ifnb_sub <- ifnb_sub[rowSums(ifnb_sub@assays$RNA@counts) > 0, ]   ifnb_sub <- UpdateSeuratObject(ifnb_sub)   # usethis::use_data(ifnb_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Show all the python packages in the environment — installed_Python_pkgs","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"Show python packages environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"","code":"installed_Python_pkgs(envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":null,"dir":"Reference","previous_headings":"","what":"Invoke a function with a list of arguments — invoke","title":"Invoke a function with a list of arguments — invoke","text":"Invoke function list arguments","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Invoke a function with a list of arguments — invoke","text":"","code":"invoke(.fn, .args = list(), ..., .env = caller_env())"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Invoke a function with a list of arguments — invoke","text":".fn function, function name string. .args list arguments. .env Environment evaluate call. useful .fn string, function side-effects. arguments passed function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":null,"dir":"Reference","previous_headings":"","what":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"Detect outliers using MAD(Median Median Absolute Deviation) method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"","code":"isOutlier(   x,   nmads = 2.5,   constant = 1.4826,   type = c(\"both\", \"lower\", \"higher\") )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"type","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a iterator along chunks of a vector — iterchunks","title":"Generate a iterator along chunks of a vector — iterchunks","text":"Generate iterator along chunks vector","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"iterchunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a iterator along chunks of a vector — iterchunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"if (FALSE) { library(BiocParallel) x <- 1:100 BPPARAM <- bpparam() bpprogressbar(BPPARAM) <- TRUE bpworkers(BPPARAM) <- 10 slow_fun <- function(x) {   out <- NULL   for (i in seq_along(x)) {     Sys.sleep(0.5)     out[[i]] <- x[[i]] + 3   }   return(out) } system.time({   res0 <- lapply(x, FUN = slow_fun) }) unlist(res0, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res1 <- bplapply(x, FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res1, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res2 <- bplapply(tochunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res2, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res3 <- bpiterate(ITER = iterchunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res3, recursive = FALSE, use.names = FALSE)[71:73] }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":null,"dir":"Reference","previous_headings":"","what":"make_long — make_long","title":"make_long — make_long","text":"Prepares 'wide' data frame format `geom_sankey` `geom_alluvial` understands. Useful show flows dimensions dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"make_long — make_long","text":"","code":"make_long(.df, ..., value = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"make_long — make_long","text":".df data frame ... unquoted columnnames df want include plot. value row weight weight kept providing column name weight.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"make_long — make_long","text":"longer data frame","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"Color palettes collected in SCP. — palette_scp","title":"Color palettes collected in SCP. — palette_scp","text":"Color palettes collected SCP.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"palette_scp(   x,   n = 100,   palette = \"Paired\",   palcolor = NULL,   type = \"auto\",   matched = FALSE,   reverse = FALSE,   NA_keep = FALSE,   NA_color = \"grey80\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Color palettes collected in SCP. — palette_scp","text":"x vector character/factor numeric values. missing, numeric values 1:n used x. n number colors return numeric values. palette Palette name. available palette names can queried show_palettes(). palcolor Custom colors used create color palette. type Type x. Can one \"auto\", \"discrete\" \"continuous\". default \"auto\", automatically detects x numeric value. matched TRUE, return color vector length x. reverse Whether invert colors. NA_keep Whether keep color assignment NA x. NA_color Color assigned NA NA_keep TRUE.","code":""},{"path":[]},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"x <- c(1:3, NA, 3:5) (pal1 <- palette_scp(x, palette = \"Spectral\")) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#5E4FA2\"   \"#5954A4\"   \"#555AA7\"   \"#5060AA\"   \"#4C66AC\"   \"#476BAF\"   \"#4371B2\"   \"#3E77B5\"   \"#3A7DB7\"   \"#3682BA\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#3288BC\"   \"#378EBA\"   \"#3D94B7\"   \"#429AB5\"   \"#47A0B3\"   \"#4CA5B0\"   \"#52ABAE\"   \"#57B1AB\"   \"#5CB7A9\"   \"#61BDA6\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#67C2A4\"   \"#6EC5A4\"   \"#75C8A4\"   \"#7CCAA4\"   \"#83CDA4\"   \"#8AD0A4\"   \"#91D2A4\"   \"#98D5A4\"   \"#9FD8A4\"   \"#A6DBA4\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#ACDDA3\"   \"#B2E0A2\"   \"#B8E2A1\"   \"#BEE5A0\"   \"#C4E79E\"   \"#CAE99D\"   \"#D0EC9C\"   \"#D6EE9B\"   \"#DCF199\"   \"#E2F398\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#E7F599\"   \"#E9F69D\"   \"#ECF7A1\"   \"#EEF8A5\"   \"#F1F9A9\"   \"#F3FAAD\"   \"#F6FBB1\"   \"#F8FCB5\"   \"#FBFDB9\"   \"#FDFEBD\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FEFDBC\"   \"#FEFAB7\"   \"#FEF7B1\"   \"#FEF4AC\"   \"#FEF0A7\"   \"#FEEDA2\"   \"#FEEA9C\"   \"#FEE797\"   \"#FEE492\"   \"#FEE18D\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#FDDC88\"   \"#FDD784\"   \"#FDD27F\"   \"#FDCD7B\"   \"#FDC877\"   \"#FDC373\"   \"#FDBE6F\"   \"#FDB96A\"   \"#FDB466\"   \"#FDAF62\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#FCA95E\"   \"#FBA25B\"   \"#FA9C58\"   \"#F99555\"   \"#F88F52\"   \"#F7884F\"   \"#F6824C\"   \"#F67B49\"   \"#F57446\"   \"#F46E43\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#F16943\"   \"#EE6445\"   \"#EB5F46\"   \"#E85A47\"   \"#E45648\"   \"#E1514A\"   \"#DE4C4B\"   \"#DB474C\"   \"#D8434D\"   \"#D53E4E\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#CF384D\"   \"#CA324C\"   \"#C42C4B\"   \"#BF2549\"   \"#B91F48\"   \"#B41947\"   \"#AE1345\"   \"#A90D44\"   \"#A30743\"   \"#9E0142\"  (pal2 <- palette_scp(x, palcolor = c(\"red\", \"white\", \"blue\"))) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#FF0000\"   \"#FF0505\"   \"#FF0A0A\"   \"#FF0F0F\"   \"#FF1414\"   \"#FF1919\"   \"#FF1E1E\"   \"#FF2424\"   \"#FF2929\"   \"#FF2E2E\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#FF3333\"   \"#FF3838\"   \"#FF3D3D\"   \"#FF4242\"   \"#FF4848\"   \"#FF4D4D\"   \"#FF5252\"   \"#FF5757\"   \"#FF5C5C\"   \"#FF6161\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#FF6767\"   \"#FF6C6C\"   \"#FF7171\"   \"#FF7676\"   \"#FF7B7B\"   \"#FF8080\"   \"#FF8585\"   \"#FF8B8B\"   \"#FF9090\"   \"#FF9595\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#FF9A9A\"   \"#FF9F9F\"   \"#FFA4A4\"   \"#FFAAAA\"   \"#FFAFAF\"   \"#FFB4B4\"   \"#FFB9B9\"   \"#FFBEBE\"   \"#FFC3C3\"   \"#FFC8C8\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#FFCECE\"   \"#FFD3D3\"   \"#FFD8D8\"   \"#FFDDDD\"   \"#FFE2E2\"   \"#FFE7E7\"   \"#FFECEC\"   \"#FFF2F2\"   \"#FFF7F7\"   \"#FFFCFC\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FCFCFF\"   \"#F7F7FF\"   \"#F2F2FF\"   \"#ECECFF\"   \"#E7E7FF\"   \"#E2E2FF\"   \"#DDDDFF\"   \"#D8D8FF\"   \"#D3D3FF\"   \"#CECEFF\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#C8C8FF\"   \"#C3C3FF\"   \"#BEBEFF\"   \"#B9B9FF\"   \"#B4B4FF\"   \"#AFAFFF\"   \"#A9A9FF\"   \"#A4A4FF\"   \"#9F9FFF\"   \"#9A9AFF\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#9595FF\"   \"#9090FF\"   \"#8B8BFF\"   \"#8585FF\"   \"#8080FF\"   \"#7B7BFF\"   \"#7676FF\"   \"#7171FF\"   \"#6C6CFF\"   \"#6767FF\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#6161FF\"   \"#5C5CFF\"   \"#5757FF\"   \"#5252FF\"   \"#4D4DFF\"   \"#4848FF\"   \"#4242FF\"   \"#3D3DFF\"   \"#3838FF\"   \"#3333FF\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#2E2EFF\"   \"#2929FF\"   \"#2424FF\"   \"#1E1EFF\"   \"#1919FF\"   \"#1414FF\"   \"#0F0FFF\"   \"#0A0AFF\"   \"#0505FF\"   \"#0000FF\"  (pal3 <- palette_scp(x, palette = \"Spectral\", n = 10)) #>   [1,1.4] (1.4,1.8] (1.8,2.2] (2.2,2.6]   (2.6,3]   (3,3.4] (3.4,3.8] (3.8,4.2] (4.2,4.6]   (4.6,5]  #> \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\"  (pal4 <- palette_scp(x, palette = \"Spectral\", n = 10, reverse = TRUE)) #>   (4.6,5] (4.2,4.6] (3.8,4.2] (3.4,3.8]   (3,3.4]   (2.6,3] (2.2,2.6] (1.8,2.2] (1.4,1.8]   [1,1.4]  #> \"#D53E4F\" \"#F46D43\" \"#FDAE61\" \"#FEE08B\" \"#FFFFBF\" \"#E6F598\" \"#ABDDA4\" \"#66C2A5\" \"#3288BD\" \"#5E4FA2\"  (pal5 <- palette_scp(x, palette = \"Spectral\", matched = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"        NA \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal6 <- palette_scp(x, palette = \"Spectral\", matched = TRUE, NA_keep = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"  \"grey80\" \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal7 <- palette_scp(x, palette = \"Paired\", type = \"discrete\")) #>         1         2         3         4         5  #> \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\"  show_palettes(list(pal1, pal2, pal3, pal4, pal5, pal6, pal7))  #> [1] \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\"  all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                    if (FALSE) { if (interactive()) {   check_R(c(\"stringr\", \"RColorBrewer\", \"ggsci\", \"Redmonder\", \"rcartocolor\", \"nord\", \"viridis\", \"pals\", \"oompaBase\", \"dichromat\", \"jaredhuling/jcolors\"))   library(stringr)   library(RColorBrewer)   library(ggsci)   library(Redmonder)   library(rcartocolor)   library(nord)   library(viridis)   library(pals)   library(dichromat)   library(jcolors)   brewer.pal.info <- RColorBrewer::brewer.pal.info   ggsci_db <- ggsci:::ggsci_db   redmonder.pal.info <- Redmonder::redmonder.pal.info   metacartocolors <- rcartocolor::metacartocolors   rownames(metacartocolors) <- metacartocolors$Name   nord_palettes <- nord::nord_palettes   viridis_names <- c(\"magma\", \"inferno\", \"plasma\", \"viridis\", \"cividis\", \"rocket\", \"mako\", \"turbo\")   viridis_palettes <- lapply(setNames(viridis_names, viridis_names), function(x) viridis::viridis(100, option = x))   ocean_names <- names(pals:::syspals)[grep(\"ocean\", names(pals:::syspals))]   ocean_palettes <- pals:::syspals[ocean_names]   dichromat_palettes <- dichromat::colorschemes   jcolors_names <- paste0(\"jcolors-\", c(\"default\", \"pal2\", \"pal3\", \"pal4\", \"pal5\", \"pal6\", \"pal7\", \"pal8\", \"pal9\", \"pal10\", \"pal11\", \"pal12\", \"rainbow\"))   custom_names <- c(\"jet\", \"simspec\", \"GdRd\")   custom_palettes <- list(     oompaBase::jetColors(N = 100),     c(\"#c22b86\", \"#f769a1\", \"#fcc5c1\", \"#253777\", \"#1d92c0\", \"#9ec9e1\", \"#015b33\", \"#42aa5e\", \"#d9f0a2\", \"#E66F00\", \"#f18c28\", \"#FFBB61\"),     c(\"gold\", \"red3\")   )   names(custom_palettes) <- custom_names    palette_list <- list()   all_colors <- c(     rownames(brewer.pal.info), names(ggsci_db), rownames(redmonder.pal.info),     rownames(metacartocolors), names(nord_palettes), names(viridis_palettes),     ocean_names, names(dichromat_palettes), jcolors_names,     custom_names   )   for (pal in all_colors) {     if (!pal %in% all_colors) {       stop(paste0(\"Invalid pal Must be one of \", paste0(all_colors, collapse = \",\")))     }     if (pal %in% rownames(brewer.pal.info)) {       pal_n <- brewer.pal.info[pal, \"maxcolors\"]       pal_category <- brewer.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(brewer.pal(name = pal, n = pal_n))       } else {         if (pal == \"Paired\") {           palcolor <- brewer.pal(12, \"Paired\")[c(1:4, 7, 8, 5, 6, 9, 10, 11, 12)]         } else {           palcolor <- brewer.pal(name = pal, n = pal_n)         }       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(ggsci_db)) {       if (pal %in% c(\"d3\", \"uchicago\", \"material\")) {         for (subpal in names(ggsci_db[[pal]])) {           palcolor <- ggsci_db[[pal]][[subpal]]           if (pal == \"material\") {             attr(palcolor, \"type\") <- \"continuous\"           } else {             attr(palcolor, \"type\") <- \"discrete\"           }           palette_list[[paste0(pal, \"-\", subpal)]] <- palcolor         }         next       } else {         palcolor <- ggsci_db[[pal]][[1]]         if (pal == \"gsea\") {           attr(palcolor, \"type\") <- \"continuous\"         } else {           attr(palcolor, \"type\") <- \"discrete\"         }       }     } else if (pal %in% rownames(redmonder.pal.info)) {       pal_n <- redmonder.pal.info[pal, \"maxcolors\"]       pal_category <- redmonder.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(redmonder.pal(name = pal, n = pal_n))       } else {         palcolor <- redmonder.pal(name = pal, n = pal_n)       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% rownames(metacartocolors)) {       pal_n <- metacartocolors[pal, \"Max_n\"]       palcolor <- carto_pal(name = pal, n = pal_n)       if (pal_category == \"qualitative\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(nord_palettes)) {       palcolor <- nord_palettes[[pal]]       attr(palcolor, \"type\") <- \"discrete\"     } else if (pal %in% names(viridis_palettes)) {       palcolor <- viridis_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(ocean_palettes)) {       palcolor <- ocean_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(dichromat_palettes)) {       palcolor <- dichromat_palettes[[pal]]       if (pal %in% c(\"Categorical.12\", \"SteppedSequential.5\")) {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% jcolors_names) {       palcolor <- jcolors(palette = gsub(\"jcolors-\", \"\", pal))       if (pal %in% paste0(\"jcolors-\", c(\"pal10\", \"pal11\", \"pal12\", \"rainbow\"))) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     } else if (pal %in% custom_names) {       palcolor <- custom_palettes[[pal]]       if (pal %in% c(\"jet\")) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     }     palette_list[[pal]] <- palcolor   }   # usethis::use_data(palette_list, internal = TRUE) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of human 'panc8' datasets — panc8_sub","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Human pancreatic islet cell datasets produced across four technologies, CelSeq (GSE81076) CelSeq2 (GSE85241), Fluidigm C1 (GSE86469), SMART-Seq2 (E-MTAB-5061) SeuratData package. data set `panc8`, 200 cells downsampled form panc8_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"panc8_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81076 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5061/ https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"if (FALSE) { if (interactive()) {   data(\"pancreas_sub\")   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"panc8\"))   data(\"panc8\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(panc8), panc8$dataset), function(x) sample(x, size = 200)))   panc8_sub <- subset(panc8, cells = cells_sub)   panc8_sub <- panc8_sub[rowSums(panc8_sub@assays$RNA@counts) > 0, ]   panc8_sub <- panc8_sub[toupper(rownames(panc8_sub)) %in% toupper(rownames(pancreas_sub)), ]   panc8_sub <- UpdateSeuratObject(panc8_sub)   # usethis::use_data(panc8_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Mouse pancreatic endocrinogenesis dataset Bastidas-Ponce et al. (2019). total 1000 cells downsampled form pancreas_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"pancreas_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"https://scvelo.readthedocs.io/scvelo.datasets.pancreas/ https://github.com/theislab/scvelo_notebooks/raw/master/data/Pancreas/endocrinogenesis_day15.h5ad","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"if (FALSE) { if (interactive()) {   library(Seurat)   library(reticulate)   check_Python(\"scvelo\")   scv <- import(\"scvelo\")   adata <- scv$datasets$pancreas()   pancreas <- adata_to_srt(adata)   set.seed(11)   pancreas_sub <- subset(pancreas, cells = sample(colnames(pancreas), size = 1000))   pancreas_sub <- pancreas_sub[rowSums(pancreas_sub@assays$RNA@counts) > 0, ]   pancreas_sub[[\"CellType\"]] <- pancreas_sub[[\"clusters_coarse\"]]   pancreas_sub[[\"SubCellType\"]] <- pancreas_sub[[\"clusters\"]]   pancreas_sub[[\"clusters_coarse\"]] <- pancreas_sub[[\"clusters\"]] <- NULL   pancreas_sub[[\"Phase\"]] <- ifelse(pancreas_sub$S_score > pancreas_sub$G2M_score, \"S\", \"G2M\")   pancreas_sub[[\"Phase\"]][apply(pancreas_sub[[]][, c(\"S_score\", \"G2M_score\")], 1, max) < 0, ] <- \"G1\"   pancreas_sub[[\"Phase\", drop = TRUE]] <- factor(pancreas_sub[[\"Phase\", drop = TRUE]], levels = c(\"G1\", \"S\", \"G2M\"))   pancreas_sub[[\"PCA\"]] <- pancreas_sub[[\"X_pca\"]]   pancreas_sub[[\"UMAP\"]] <- pancreas_sub[[\"X_umap\"]]   pancreas_sub[[\"X_umap\"]] <- pancreas_sub[[\"X_pca\"]] <- NULL   VariableFeatures(pancreas_sub) <- rownames(pancreas_sub[[\"RNA\"]])[which(pancreas_sub[[\"RNA\"]]@meta.features$highly_variable_genes == \"True\")]   # usethis::use_data(pancreas_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":null,"dir":"Reference","previous_headings":"","what":"Set the panel width/height of a plot object to a fixed value. — panel_fix","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"ggplot object, stored, can specify height width entire plot, panel. latter obviously important control final result plot. function can set panel width/height plot fixed value rasterize .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"panel_fix(   x = NULL,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   padding = 0,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   facet_wrap(~gear, nrow = 2) # fix the size of panel panel_fix(p, width = 5, height = 3, units = \"cm\")  # rasterize the panel panel_fix(p, width = 5, height = 3, units = \"cm\", raster = TRUE, dpi = 30)   # panel_fix will build and render the plot when the input is a ggplot object. # so after panel_fix, the size of the object will be changed. object.size(p) #> 13984 bytes object.size(panel_fix(p, width = 5, height = 3, units = \"cm\")) #> 1398888 bytes  ## save the plot with appropriate size # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\") # plot_size <- attr(p_fix, \"size\") # ggsave( #   filename = \"p_fix.png\", plot = p_fix, #   units = plot_size$units, width = plot_size$width, height = plot_size$height # ) ## or save the plot directly # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\", save = \"p_fix.png\")  # fix the panel of the plot combined by patchwork data(\"pancreas_sub\") p1 <- CellDimPlot(pancreas_sub, \"Phase\", aspect.ratio = 1) # ggplot object p2 <- FeatureDimPlot(pancreas_sub, \"Ins1\", aspect.ratio = 0.5) # ggplot object p <- p1 / p2 # plot is combined by patchwork # fix the panel size for each plot, the width will be calculated automatically based on aspect.ratio panel_fix(p, height = 1)   # fix the panel of the plot combined by plot_grid library(cowplot) #>  #> Attaching package: ‘cowplot’ #> The following object is masked from ‘package:ggpubr’: #>  #>     get_legend p1 <- CellDimPlot(pancreas_sub, c(\"Phase\", \"SubCellType\"), label = TRUE) # plot is combined by patchwork p2 <- FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\"), label = TRUE) # plot is combined by patchwork p <- plot_grid(p1, p2, nrow = 2) # plot is combined by plot_grid # fix the size of panel for each plot panel_fix(p, height = 1)  # rasterize the panel while keeping all labels and text in vector format panel_fix(p, height = 1, raster = TRUE, dpi = 30)   # fix the panel of the heatmap ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. # the size of the heatmap is not fixed and can be resized by zooming the viewport. ht1$plot  # fix the size of the heatmap according the current viewport panel_fix(ht1$plot)  # rasterize the heatmap body panel_fix(ht1$plot, raster = TRUE, dpi = 30)  # fix the size of overall heatmap including annotation and legend panel_fix(ht1$plot, height = 4, width = 6)   ht2 <- GroupHeatmap(pancreas_sub,   features = pancreas_sub[[\"RNA\"]]@var.features,   group.by = \"SubCellType\",   n_split = 5, nlabel = 20,   db = \"GO_BP\", species = \"Mus_musculus\", anno_terms = TRUE,   height = 4, width = 1 # Heatmap body size for two groups ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 19:55:18.773008] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 18:25:31.828718 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 19:56:27.549832] Enrichment done #> Elapsed time:1.15 mins #> The size of the heatmap will be fixed as some elements are not scalable. # the size of the heatmap is already fixed ht2$plot  # when no height/width is specified, panel_fix does not change the size of the heatmap. panel_fix(ht2$plot)  # rasterize the heatmap body panel_fix(ht2$plot, raster = TRUE, dpi = 30)  # however, gene labels on the left and enrichment annotations on the right cannot be adjusted panel_fix(ht2$plot, height = 5, width = 10)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":null,"dir":"Reference","previous_headings":"","what":"Fix the width/height of panels in a single plot object. — panel_fix_single","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"Fix width/height panels single plot object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"","code":"panel_fix_single(   x,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"scVI_integrate — scVI_integrate","title":"scVI_integrate — scVI_integrate","text":"scVI_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"scVI_integrate — scVI_integrate","text":"","code":"scVI_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   scVI_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   model = \"SCVI\",   SCVI_params = list(),   PEAKVI_params = list(),   num_threads = 8,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"scVI_integrate — scVI_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":null,"dir":"Reference","previous_headings":"","what":"Shorten and offset the segment — segementsDf","title":"Shorten and offset the segment — segementsDf","text":"Shorten offset segment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shorten and offset the segment — segementsDf","text":"","code":"segementsDf(data, shorten_start, shorten_end, offset)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shorten and offset the segment — segementsDf","text":"offset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shorten and offset the segment — segementsDf","text":"","code":"library(ggplot2) tempNodes <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30)) data <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30), \"xend\" = c(40, 10), \"yend\" = c(30, 10)) ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(data = data, aes(x = x, xend = xend, y = y, yend = yend))   ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(     data = segementsDf(data, shorten_start = 2, shorten_end = 3, offset = 1),     aes(x = x, xend = xend, y = y, yend = yend)   )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":null,"dir":"Reference","previous_headings":"","what":"Show the color palettes — show_palettes","title":"Show the color palettes — show_palettes","text":"Show color palettes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(   palettes = NULL,   type = c(\"discrete\", \"continuous\"),   index = NULL,   palette_names = NULL,   return_names = TRUE,   return_palettes = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show the color palettes — show_palettes","text":"palettes list custom color palettes shown. type Specifies type color palettes collected SCP. index index palette SCP palette list. NULL, show palettes collected SCP. palette_names Specifies name color palettes collected SCP. return_names Whether return palette names. return_palettes Whether return palettes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(palettes = list(c(\"red\", \"blue\", \"green\"), c(\"yellow\", \"purple\", \"orange\")))  #> [1] \"1\" \"2\" all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                   all_palettes[[\"simspec\"]] #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" show_palettes(index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Accent\"   show_palettes(type = \"discrete\", index = 1:10)  #>  [1] \"Accent\"  \"Dark2\"   \"Paired\"  \"Pastel1\" \"Pastel2\" \"Set1\"    \"Set2\"    \"Set3\"    \"npg\"     \"aaas\"    show_palettes(type = \"continuous\", index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Blues\"    show_palettes(palette_names = c(\"Paired\", \"nejm\", \"simspec\", \"Spectral\", \"jet\"), return_palettes = TRUE)  #> $Paired #>  [1] \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\" \"#FF7F00\" \"#FB9A99\" \"#E31A1C\" \"#CAB2D6\" \"#6A3D9A\" \"#FFFF99\" #> [12] \"#B15928\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $nejm #>      TallPoppy   DeepCerulean           Zest     Eucalyptus WildBlueYonder         Gothic        Salomie     FrenchRose  #>      \"#BC3C29\"      \"#0072B5\"      \"#E18727\"      \"#20854E\"      \"#7876B1\"      \"#6F99AD\"      \"#FFDC91\"      \"#EE4C97\"  #> attr(,\"type\") #> [1] \"discrete\" #>  #> $simspec #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $Spectral #>  [1] \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\" \"#9E0142\" #> attr(,\"type\") #> [1] \"continuous\" #>  #> $jet #>   [1] \"#00007A\" \"#000085\" \"#00008F\" \"#000099\" \"#0000A3\" \"#0000AD\" \"#0000B8\" \"#0000C2\" \"#0000CC\" \"#0000D6\" \"#0000E0\" #>  [12] \"#0000EB\" \"#0000F5\" \"#0000FF\" \"#000AFF\" \"#0014FF\" \"#001FFF\" \"#0029FF\" \"#0033FF\" \"#003DFF\" \"#0047FF\" \"#0052FF\" #>  [23] \"#005CFF\" \"#0066FF\" \"#0070FF\" \"#007AFF\" \"#0085FF\" \"#008FFF\" \"#0099FF\" \"#00A3FF\" \"#00ADFF\" \"#00B8FF\" \"#00C2FF\" #>  [34] \"#00CCFF\" \"#00D6FF\" \"#00E0FF\" \"#00EBFF\" \"#00F5FF\" \"#00FFFF\" \"#0AFFF5\" \"#14FFEB\" \"#1FFFE0\" \"#29FFD6\" \"#33FFCC\" #>  [45] \"#3DFFC2\" \"#47FFB8\" \"#52FFAD\" \"#5CFFA3\" \"#66FF99\" \"#70FF8F\" \"#7AFF85\" \"#85FF7A\" \"#8FFF70\" \"#99FF66\" \"#A3FF5C\" #>  [56] \"#ADFF52\" \"#B8FF47\" \"#C2FF3D\" \"#CCFF33\" \"#D6FF29\" \"#E0FF1F\" \"#EBFF14\" \"#F5FF0A\" \"#FFFF00\" \"#FFF500\" \"#FFEB00\" #>  [67] \"#FFE000\" \"#FFD600\" \"#FFCC00\" \"#FFC200\" \"#FFB800\" \"#FFAD00\" \"#FFA300\" \"#FF9900\" \"#FF8F00\" \"#FF8500\" \"#FF7A00\" #>  [78] \"#FF7000\" \"#FF6600\" \"#FF5C00\" \"#FF5200\" \"#FF4700\" \"#FF3D00\" \"#FF3300\" \"#FF2900\" \"#FF1F00\" \"#FF1400\" \"#FF0A00\" #>  [89] \"#FF0000\" \"#F50000\" \"#EB0000\" \"#E00000\" \"#D60000\" \"#CC0000\" \"#C20000\" \"#B80000\" \"#AD0000\" \"#A30000\" \"#990000\" #> [100] \"#8F0000\" #> attr(,\"type\") #> [1] \"continuous\" #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop unused data from the plot to reduce the object size — slim_data","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"Drop unused data plot reduce object size","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"slim_data(p)  # S3 method for ggplot slim_data(p)  # S3 method for patchwork slim_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() object.size(p) #> 13984 bytes colnames(p$data) #>  [1] \"mpg\"  \"cyl\"  \"disp\" \"hp\"   \"drat\" \"wt\"   \"qsec\" \"vs\"   \"am\"   \"gear\" \"carb\"  p_slim <- slim_data(p) object.size(p_slim) #> 10912 bytes colnames(p_slim$data) #> [1] \"mpg\" \"cyl\" \"wt\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"Convert seurat object anndata object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"srt_to_adata(   srt,   features = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   convert_tools = FALSE,   convert_misc = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"srt Seurat object. assay_X Assays convert X(main data matrix) anndata object. assay_layers Assays convert layers anndata object. verbose","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata #> AnnData object with n_obs × n_vars = 1000 × 15958 #>     obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'S_score', 'G2M_score', 'nCount_spliced', 'nFeature_spliced', 'nCount_unspliced', 'nFeature_unspliced', 'CellType', 'SubCellType', 'Phase' #>     var: 'features', 'highly_variable_genes', 'highly_variable' #>     obsm: 'PCA', 'UMAP' #>     layers: 'spliced', 'unspliced'  ### Or save as an h5ad file or a loom file # adata$write_h5ad(\"pancreas_sub.h5ad\") # adata$write_loom(\"pancreas_sub.loom\", write_obsm_varm = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":null,"dir":"Reference","previous_headings":"","what":"Blank theme — theme_blank","title":"Blank theme — theme_blank","text":"Blank theme","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blank theme — theme_blank","text":"","code":"theme_blank(   add_coord = TRUE,   xlen_npc = 0.15,   ylen_npc = 0.15,   xlab = \"\",   ylab = \"\",   lab_size = 12,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blank theme — theme_blank","text":"add_coord Whether add coordinate arrows. Default TRUE. xlen_npc length x-axis arrow \"npc\". ylen_npc length y-axis arrow \"npc\". xlab x-axis label. ylab y-axis label. lab_size Label size. ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blank theme — theme_blank","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_blank()  p + theme_blank(xlab = \"x-axis\", ylab = \"y-axis\", lab_size = 16)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"sankey_themes — theme_sankey","title":"sankey_themes — theme_sankey","text":"Minimal themes sankey, alluvial sankey bump plots","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sankey_themes — theme_sankey","text":"","code":"theme_sankey(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_alluvial(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_sankey_bump(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sankey_themes — theme_sankey","text":"base_size base font size, given pts. base_family base font family base_line_size base size line elements base_rect_size base size rect elements","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"SCP theme — theme_scp","title":"SCP theme — theme_scp","text":"default theme SCP plot function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SCP theme — theme_scp","text":"","code":"theme_scp(aspect.ratio = NULL, base_size = 12, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SCP theme — theme_scp","text":"aspect.ratio Aspect ratio panel. base_size Base font size ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"SCP theme — theme_scp","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_scp()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Split a vector into the chunks — tochunks","title":"Split a vector into the chunks — tochunks","text":"Split vector chunks","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split a vector into the chunks — tochunks","text":"","code":"tochunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split a vector into the chunks — tochunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split a vector into the chunks — tochunks","text":"","code":"x <- 1:10 names(x) <- letters[1:10] tochunks(x, nchunks = 3) #> $`1` #> a b c d  #> 1 2 3 4  #>  #> $`2` #> e f g  #> 5 6 7  #>  #> $`3` #>  h  i  j  #>  8  9 10  #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":null,"dir":"Reference","previous_headings":"","what":"Implement similar functions to the unnest function in the tidyr package — unnest","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"Implement similar functions unnest function tidyr package","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"","code":"unnest(data, cols, keep_empty = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"data data frame. cols Columns unnest. keep_empty default, get one row output element list unchopping/unnesting. means size-0 element (like NULL empty data frame), entire row dropped output. want preserve rows, use keep_empty = TRUE replace size-0 elements single row missing values.","code":""}]
+[{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. protect rights, need prevent others denying rights asking surrender rights. Therefore, certain responsibilities distribute copies software, modify : responsibilities respect freedom others. example, distribute copies program, whether gratis fee, must pass recipients freedoms received. must make sure , , receive can get source code. must show terms know rights. Developers use GNU GPL protect rights two steps: (1) assert copyright software, (2) offer License giving legal permission copy, distribute /modify . developers’ authors’ protection, GPL clearly explains warranty free software. users’ authors’ sake, GPL requires modified versions marked changed, problems attributed erroneously authors previous versions. devices designed deny users access install run modified versions software inside , although manufacturer can . fundamentally incompatible aim protecting users’ freedom change software. systematic pattern abuse occurs area products individuals use, precisely unacceptable. Therefore, designed version GPL prohibit practice products. problems arise substantially domains, stand ready extend provision domains future versions GPL, needed protect freedom users. Finally, every program threatened constantly software patents. States allow patents restrict development use software general-purpose computers, , wish avoid special danger patents applied free program make effectively proprietary. prevent , GPL assures patents used render program non-free. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. Definitions","title":"GNU General Public License","text":"“License” refers version 3 GNU General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. 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Source Code","title":"GNU General Public License","text":"“source code” work means preferred form work making modifications . “Object code” means non-source form work. “Standard Interface” means interface either official standard defined recognized standards body, , case interfaces specified particular programming language, one widely used among developers working language. “System Libraries” executable work include anything, work whole, () included normal form packaging Major Component, part Major Component, (b) serves enable use work Major Component, implement Standard Interface implementation available public source code form. “Major Component”, context, means major essential component (kernel, window system, ) specific operating system () executable work runs, compiler used produce work, object code interpreter used run . “Corresponding Source” work object code form means source code needed generate, install, (executable work) run object code modify work, including scripts control activities. 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Protecting Users’ Legal Rights From Anti-Circumvention Law","title":"GNU General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. 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Interpretation of Sections 15 and 16","title":"GNU General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see . GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read .","code":" Copyright (C)     This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see .   Copyright (C)    This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Hao Zhang. Maintainer.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Zhang H (2023). SCP: Single Cell Pipeline. R package version 0.5.1, https://github.com/zhanghao-njmu/SCP.","code":"@Manual{,   title = {SCP: Single Cell Pipeline},   author = {Hao Zhang},   year = {2023},   note = {R package version 0.5.1},   url = {https://github.com/zhanghao-njmu/SCP}, }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"scp-single-cell-pipeline","dir":"","previous_headings":"","what":"Single Cell Pipeline","title":"Single Cell Pipeline","text":"SCP provides comprehensive set tools single-cell data processing downstream analysis. package includes following facilities: Integrated single-cell quality control methods. Pipelines embedded multiple methods normalization, feature reduction, cell population identification (standard Seurat workflow). Pipelines embedded multiple integration methods scRNA-seq scATAC-seq data, including Uncorrected, Seurat, scVI, MNN, fastMNN, Harmony, Scanorama, BBKNN, CSS, LIGER, Conos, ComBat. Multiple single-cell downstream analyses identification differential features, enrichment analysis, GSEA analysis, identification dynamic features, PAGA, RNA velocity, Palantir, Monocle2, Monocle3, etc. Multiple methods automatic annotation single-cell data methods projection single-cell datasets. High-quality data visualization methods. Fast deployment single-cell data SCExplorer, shiny app provides interactive visualization interface. functions SCP package developed around Seurat object compatible Seurat functions.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"r-version-requirement","dir":"","previous_headings":"","what":"R version requirement","title":"Single Cell Pipeline","text":"R >= 4.1.0","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-the-global-r-environment","dir":"","previous_headings":"","what":"Installation in the global R environment","title":"Single Cell Pipeline","text":"can install latest version SCP GitHub :","code":"if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"zhanghao-njmu/SCP\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-scp-python-environment","dir":"","previous_headings":"Installation in the global R environment","what":"Create SCP python environment","title":"Single Cell Pipeline","text":"run functions RunPAGA RunSCVELO, SCP requires conda create separate python environment. default environment name \"SCP_env\". can specify environment name SCP setting options(SCP_env_name=\"new_name\") Now, can run PrepareEnv() create python environment SCP. conda binary found, automatically download install miniconda. force SCP use specific conda binary, recommended set reticulate.conda_binary R option: download miniconda pip packages slow, can specify miniconda repo PyPI mirror according network region. Available miniconda repositories: https://repo.anaconda.com/miniconda (default) http://mirrors.aliyun.com/anaconda/miniconda https://mirrors.bfsu.edu.cn/anaconda/miniconda https://mirrors.pku.edu.cn/anaconda/miniconda https://mirror.nju.edu.cn/anaconda/miniconda https://mirrors.sustech.edu.cn/anaconda/miniconda https://mirrors.xjtu.edu.cn/anaconda/miniconda https://mirrors.hit.edu.cn/anaconda/miniconda Available PyPI mirrors: https://pypi.python.org/simple (default) https://mirrors.aliyun.com/pypi/simple https://pypi.tuna.tsinghua.edu.cn/simple https://mirrors.pku.edu.cn/pypi/simple https://mirror.nju.edu.cn/pypi/web/simple https://mirrors.sustech.edu.cn/pypi/simple https://mirrors.xjtu.edu.cn/pypi/simple https://mirrors.hit.edu.cn/pypi/web/simple","code":"SCP::PrepareEnv() options(reticulate.conda_binary = \"/path/to/conda\") SCP::PrepareEnv() SCP::PrepareEnv(   miniconda_repo = \"https://mirrors.bfsu.edu.cn/anaconda/miniconda\",   pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-an-isolated-r-environment-using-renv","dir":"","previous_headings":"","what":"Installation in an isolated R environment using renv","title":"Single Cell Pipeline","text":"want change current R environment require reproducibility, can use renv package install SCP isolated R environment.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-an-isolated-r-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Create an isolated R environment","title":"Single Cell Pipeline","text":"Option 1: Install SCP GitHub create SCP python environment Option 2: SCP already installed global environment, copy SCP local library","code":"if (!require(\"renv\", quietly = TRUE)) {   install.packages(\"renv\") } dir.create(\"~/SCP_env\", recursive = TRUE) # It cannot be the home directory \"~\" ! renv::init(project = \"~/SCP_env\", bare = TRUE, restart = TRUE) renv::activate(project = \"~/SCP_env\") renv::install(\"BiocManager\") renv::install(\"zhanghao-njmu/SCP\", repos = BiocManager::repositories()) SCP::PrepareEnv() renv::activate(project = \"~/SCP_env\") renv::hydrate(\"SCP\") SCP::PrepareEnv()"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"activate-scp-environment-first-before-use","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Activate SCP environment first before use","title":"Single Cell Pipeline","text":"","code":"renv::activate(project = \"~/SCP_env\")  library(SCP) data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"save-and-restore-the-state-of-scp-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Save and restore the state of SCP environment","title":"Single Cell Pipeline","text":"","code":"renv::snapshot(project = \"~/SCP_env\") renv::restore(project = \"~/SCP_env\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"quick-start","dir":"","previous_headings":"","what":"Quick Start","title":"Single Cell Pipeline","text":"Data exploration CellQC Standard pipeline Integration pipeline Cell projection single-cell datasets Cell annotation using bulk RNA-seq datasets Cell annotation using single-cell datasets PAGA analysis Velocity analysis Differential expression analysis Enrichment analysis(-representation) Enrichment analysis(GSEA) Trajectory inference Dynamic features Interactive data visualization SCExplorer visualization examples","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"data-exploration","dir":"","previous_headings":"Quick Start","what":"Data exploration","title":"Single Cell Pipeline","text":"analysis based subsetted version mouse pancreas data.","code":"library(SCP) library(BiocParallel) register(MulticoreParam(workers = 8, progressbar = TRUE))  data(\"pancreas_sub\") print(pancreas_sub) #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 3467 variable features) #>  2 other assays present: spliced, unspliced #>  2 dimensional reductions calculated: PCA, UMAP CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) CellDimPlot(   srt = pancreas_sub, group.by = \"SubCellType\", stat.by = \"Phase\",   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"),   compare_features = TRUE, label = TRUE, label_insitu = TRUE,   reduction = \"UMAP\", theme_use = \"theme_blank\" ) ht <- GroupHeatmap(   srt = pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Cdh2\"),   cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   show_row_names = TRUE, row_names_side = \"left\",   add_dot = TRUE, add_reticle = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cellqc","dir":"","previous_headings":"Quick Start","what":"CellQC","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunCellQC(srt = pancreas_sub) CellDimPlot(srt = pancreas_sub, group.by = \"CellQC\", reduction = \"UMAP\") CellStatPlot(srt = pancreas_sub, stat.by = \"CellQC\", group.by = \"CellType\", label = TRUE) CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"standard-pipeline","dir":"","previous_headings":"Quick Start","what":"Standard pipeline","title":"Single Cell Pipeline","text":"CellDimPlot3D FeatureDimPlot3D","code":"pancreas_sub <- Standard_SCP(srt = pancreas_sub) CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\" ) CellDimPlot3D(srt = pancreas_sub, group.by = \"SubCellType\") FeatureDimPlot3D(srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"integration-pipeline","dir":"","previous_headings":"Quick Start","what":"Integration pipeline","title":"Single Cell Pipeline","text":"Example data integration subsetted version panc8(eight human pancreas datasets)  UMAP embeddings based different integration methods SCP: Integration-","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\") CellDimPlot(   srt = panc8_sub, group.by = c(\"celltype\", \"tech\"), reduction = \"SeuratUMAP2D\",   title = \"Seurat\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-projection-between-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell projection between single-cell datasets","title":"Single Cell Pipeline","text":"","code":"panc8_rename <- RenameFeatures(srt = panc8_sub, newnames = make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)), assays = \"RNA\") srt_query <- RunKNNMap(srt_query = pancreas_sub, srt_ref = panc8_rename, ref_umap = \"SeuratUMAP2D\") ProjectionPlot(   srt_query = srt_query, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-bulk-rna-seq-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using bulk RNA-seq datasets","title":"Single Cell Pipeline","text":"","code":"data(\"ref_scMCA\") pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 20) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using single-cell datasets","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   ref_group = \"celltype\", filter_lowfreq = 20 ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   return_full_distance_matrix = TRUE ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) ht <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   nlabel = 3, label_by = \"row\",   show_row_names = TRUE, show_column_names = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"paga-analysis","dir":"","previous_headings":"Quick Start","what":"PAGA analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) PAGAPlot(srt = pancreas_sub, reduction = \"UMAP\", label = TRUE, label_insitu = TRUE, label_repel = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"velocity-analysis","dir":"","previous_headings":"Quick Start","what":"Velocity analysis","title":"Single Cell Pipeline","text":"estimate RNA velocity, need “spliced” “unspliced” assays Seurat object. can generate matrices using velocyto, bustools, alevin.","code":"pancreas_sub <- RunSCVELO(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\") VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"differential-expression-analysis","dir":"","previous_headings":"Quick Start","what":"Differential expression analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDEtest(srt = pancreas_sub, group_by = \"CellType\", fc.threshold = 1, only.pos = FALSE) VolcanoPlot(srt = pancreas_sub, group_by = \"CellType\") DEGs <- pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox DEGs <- DEGs[with(DEGs, avg_log2FC > 1 & p_val_adj < 0.05), ] # Annotate features with transcription factors and surface proteins pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) ht <- FeatureHeatmap(   srt = pancreas_sub, group.by = \"CellType\", features = DEGs$gene, feature_split = DEGs$group1,   species = \"Mus_musculus\", db = c(\"GO_BP\", \"KEGG\", \"WikiPathway\"), anno_terms = TRUE,   feature_annotation = c(\"TF\", \"CSPA\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   height = 5, width = 4 ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisover-representation","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(over-representation)","title":"Single Cell Pipeline","text":"ensure labels visible, can adjust size viewer panel Rstudio IDE.","code":"pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"avg_log2FC > log2(1.5) & p_val_adj < 0.05\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\", word_type = \"feature\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"network\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"enrichmap\" ) EnrichmentPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisgsea","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(GSEA)","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"p_val_adj < 0.05\" ) GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", group_use = \"Endocrine\", id_use = \"GO:0007186\") GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"trajectory-inference","dir":"","previous_headings":"Quick Start","what":"Trajectory inference","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunSlingshot(srt = pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\", theme_use = \"theme_blank\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"dynamic-features","dir":"","previous_headings":"Quick Start","what":"Dynamic features","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDynamicFeatures(srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) ht <- DynamicHeatmap(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"),   use_fitted = TRUE, n_split = 6, reverse_ht = \"Lineage1\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE,   heatmap_palette = \"viridis\", cell_annotation = \"SubCellType\",   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")), separate_annotation_palette = c(\"Paired\", \"Set1\"),   feature_annotation = c(\"TF\", \"CSPA\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25, pseudotime_label_color = \"red\",   height = 5, width = 2 ) print(ht$plot) DynamicPlot(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), group.by = \"SubCellType\",   features = c(\"Plk1\", \"Hes1\", \"Neurod2\", \"Ghrl\", \"Gcg\", \"Ins2\"),   compare_lineages = TRUE, compare_features = FALSE ) FeatureStatPlot(   srt = pancreas_sub, group.by = \"SubCellType\", bg.by = \"CellType\",   stat.by = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\"), add_box = TRUE,   comparisons = list(     c(\"Ductal\", \"Ngn3 low EP\"),     c(\"Ngn3 high EP\", \"Pre-endocrine\"),     c(\"Alpha\", \"Beta\")   ) )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"interactive-data-visualization-with-scexplorer","dir":"","previous_headings":"Quick Start","what":"Interactive data visualization with SCExplorer","title":"Single Cell Pipeline","text":"","code":"PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\") app <- RunSCExplorer(base_dir = \"./SCExplorer\") list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  if (interactive()) {   shiny::runApp(app) }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"other-visualization-examples","dir":"","previous_headings":"Quick Start","what":"Other visualization examples","title":"Single Cell Pipeline","text":"CellDimPlotCellStatPlotFeatureStatPlotGroupHeatmap can also find examples documentation function: Integration_SCP, RunKNNMap, RunMonocle3, RunPalantir, etc.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"AnnotateFeatures — AnnotateFeatures","title":"AnnotateFeatures — AnnotateFeatures","text":"AnnotateFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"AnnotateFeatures(   srt,   species = \"Homo_sapiens\",   IDtype = c(\"symbol\", \"ensembl_id\", \"entrez_id\"),   db = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   gtf = NULL,   merge_gtf_by = \"gene_name\",   columns = c(\"seqname\", \"feature\", \"start\", \"end\", \"strand\", \"gene_id\", \"gene_name\",     \"gene_type\"),   assays = \"RNA\",   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"AnnotateFeatures — AnnotateFeatures","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- AnnotateFeatures(pancreas_sub,   species = \"Mus_musculus\", IDtype = \"symbol\",   db = c(\"Chromosome\", \"GeneType\", \"Enzyme\", \"TF\", \"CSPA\", \"VerSeDa\") ) #> Species: Mus_musculus #> Preparing database: Chromosome #> Preparing database: GeneType #> Preparing database: Enzyme #> Preparing database: TF #> Preparing database: CSPA #> Preparing database: VerSeDa #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 11269 genes mapped with ensembl_peptide_id #> ============================== #> 11269 genes mapped #> 1197 genes unmapped #> ============================== #> Convert ID types for the database: Chromosome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 44558 genes unmapped #> ============================== #> Convert ID types for the database: GeneType #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 45394 genes unmapped #> ============================== #> Convert ID types for the database: Enzyme #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 2263 genes mapped with entrez_id #> ============================== #> 2263 genes mapped #> 20 genes unmapped #> ============================== head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes Chromosome       GeneType Enzyme   TF CSPA          VerSeDa #> Mrpl15                        False       chr1 protein-coding      SecretoryProtein #> Npbwr1                                chr1 protein-coding                   #> 4732440D04Rik                 False                                     #> Gm26901                       False                                     #> Sntg1                          True       chr1 protein-coding      SecretoryProtein #> Mybl1                         False       chr1 protein-coding      TF                ## Annotate features using a GTF file # pancreas_sub <- AnnotateFeatures(pancreas_sub, gtf = \"/data/reference/CellRanger/refdata-gex-mm10-2020-A/genes/genes.gtf\") # head(pancreas_sub[[\"RNA\"]]@meta.features)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"BBKNN_integrate — BBKNN_integrate","title":"BBKNN_integrate — BBKNN_integrate","text":"BBKNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BBKNN_integrate — BBKNN_integrate","text":"","code":"BBKNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   bbknn_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BBKNN_integrate — BBKNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":null,"dir":"Reference","previous_headings":"","what":"Prefetch cycle gene — CC_GenePrefetch","title":"Prefetch cycle gene — CC_GenePrefetch","text":"Based human cell cycle genes, cell cycle genes corresponding species captured homologous gene conversion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"CC_GenePrefetch(   species = \"Homo_sapiens\",   Ensembl_version = 103,   mirror = NULL,   max_tries = 5,   use_cached_gene = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prefetch cycle gene — CC_GenePrefetch","text":"species Latin names animals,.e., \"Homo_sapiens\", \"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service. use_cached_gene Whether use previously cached cell cycle gene conversion results species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prefetch cycle gene — CC_GenePrefetch","text":"list S-phase G2M-phase genes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"ccgenes <- CC_GenePrefetch(\"Homo_sapiens\") str(ccgenes) #> List of 3 #>  $ res         : NULL #>  $ cc_S_genes  : chr [1:43] \"MCM5\" \"PCNA\" \"TYMS\" \"FEN1\" ... #>  $ cc_G2M_genes: chr [1:54] \"HMGB2\" \"CDK1\" \"NUSAP1\" \"UBE2C\" ... ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Converting the geneIDs... #> 97 genes mapped with ensembl_symbol #> ============================== #> 97 genes mapped #> 0 genes unmapped #> ============================== str(ccgenes) #> List of 3 #>  $ res         :List of 7 #>   ..$ geneID_res     :'data.frame':\t99 obs. of  4 variables: #>   .. ..$ from_IDtype: chr [1:99] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   .. ..$ from_geneID: chr [1:99] \"NCAPD2\" \"ANLN\" \"UBR7\" \"TACC3\" ... #>   .. ..$ to_IDtype  : chr [1:99] \"symbol\" \"symbol\" \"symbol\" \"symbol\" ... #>   .. ..$ to_geneID  : chr [1:99] \"Ncapd2\" \"Anln\" \"Ubr7\" \"Tacc3\" ... #>   ..$ geneID_collapse:'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     :List of 94 #>   .. .. ..$ : chr \"Anln\" #>   .. .. ..$ : chr \"Anp32e\" #>   .. .. ..$ : chr \"Aurka\" #>   .. .. ..$ : chr \"Aurkb\" #>   .. .. ..$ : chr \"Birc5\" #>   .. .. ..$ : chr \"Blm\" #>   .. .. ..$ : chr \"Bub1\" #>   .. .. ..$ : chr \"Casp8ap2\" #>   .. .. ..$ : chr \"Cbx5\" #>   .. .. ..$ : chr \"Ccnb2\" #>   .. .. ..$ : chr \"Ccne2\" #>   .. .. ..$ : chr \"Cdc20\" #>   .. .. ..$ : chr \"Cdc25c\" #>   .. .. ..$ : chr \"Cdc45\" #>   .. .. ..$ : chr \"Cdc6\" #>   .. .. ..$ : chr \"Cdca2\" #>   .. .. ..$ : chr \"Cdca3\" #>   .. .. ..$ : chr \"Cdca7\" #>   .. .. ..$ : chr \"Cdca8\" #>   .. .. ..$ : chr \"Cdk1\" #>   .. .. ..$ : chr \"Cenpa\" #>   .. .. ..$ : chr \"Cenpe\" #>   .. .. ..$ : chr \"Cenpf\" #>   .. .. ..$ : chr \"Cenpu\" #>   .. .. ..$ : chr \"Chaf1b\" #>   .. .. ..$ : chr \"Ckap2\" #>   .. .. ..$ : chr \"Ckap2l\" #>   .. .. ..$ : chr \"Ckap5\" #>   .. .. ..$ : chr \"Cks1b\" #>   .. .. ..$ : chr \"Cks2\" #>   .. .. ..$ : chr \"Clspn\" #>   .. .. ..$ : chr \"Ctcf\" #>   .. .. ..$ : chr \"Dlgap5\" #>   .. .. ..$ : chr \"Dscc1\" #>   .. .. ..$ : chr \"Dtl\" #>   .. .. ..$ : chr \"E2f8\" #>   .. .. ..$ : chr \"Ect2\" #>   .. .. ..$ : chr \"Exo1\" #>   .. .. ..$ : chr \"Fen1\" #>   .. .. ..$ : chr \"G2e3\" #>   .. .. ..$ : chr \"Gas2l3\" #>   .. .. ..$ : chr \"Gins2\" #>   .. .. ..$ : chr \"Gmnn\" #>   .. .. ..$ : chr \"Gtse1\" #>   .. .. ..$ : chr \"Hells\" #>   .. .. ..$ : chr \"Hjurp\" #>   .. .. ..$ : chr \"Hmgb2\" #>   .. .. ..$ : chr \"Hmmr\" #>   .. .. ..$ : chr \"Kif11\" #>   .. .. ..$ : chr \"Kif20b\" #>   .. .. ..$ : chr \"Kif23\" #>   .. .. ..$ : chr \"Kif2c\" #>   .. .. ..$ : chr \"Lbr\" #>   .. .. ..$ : chr \"Mcm4\" #>   .. .. ..$ : chr \"Mcm5\" #>   .. .. ..$ : chr \"Mcm6\" #>   .. .. ..$ : chr \"Mcm7\" #>   .. .. ..$ : chr \"Mki67\" #>   .. .. ..$ : chr \"Mrpl36\" #>   .. .. ..$ : chr \"Msh2\" #>   .. .. ..$ : chr \"Nasp\" #>   .. .. ..$ : chr \"Ncapd2\" #>   .. .. ..$ : chr \"Ndc80\" #>   .. .. ..$ : chr \"Nek2\" #>   .. .. ..$ : chr \"Nuf2\" #>   .. .. ..$ : chr \"Nusap1\" #>   .. .. ..$ : chr \"Pcna\" #>   .. .. ..$ : chr \"Pimreg\" #>   .. .. ..$ : chr \"Pola1\" #>   .. .. ..$ : chr \"Polr1b\" #>   .. .. ..$ : chr \"Prim1\" #>   .. .. ..$ : chr \"Psrc1\" #>   .. .. ..$ : chr \"Rad51\" #>   .. .. ..$ : chr \"Rad51ap1\" #>   .. .. ..$ : chr \"Rangap1\" #>   .. .. ..$ : chr \"Rfc2\" #>   .. .. ..$ : chr \"Rrm1\" #>   .. .. ..$ : chr \"Rrm2\" #>   .. .. ..$ : chr \"Slbp\" #>   .. .. ..$ : chr \"Smc4\" #>   .. .. ..$ : chr \"Tacc3\" #>   .. .. ..$ : chr \"Tipin\" #>   .. .. ..$ : chr \"Tmpo\" #>   .. .. ..$ : chr \"Top2a\" #>   .. .. ..$ : chr \"Tpx2\" #>   .. .. ..$ : chr \"Ttk\" #>   .. .. ..$ : chr \"Tubb4b\" #>   .. .. ..$ : chr \"Tyms\" #>   .. .. ..$ : chr \"Ube2c\" #>   .. .. ..$ : chr \"Ubr7\" #>   .. .. ..$ : chr \"Uhrf1\" #>   .. .. ..$ : chr \"Ung\" #>   .. .. ..$ : chr \"Usp1\" #>   .. .. ..$ : chr \"Wdr76\" #>   .. .. ..- attr(*, \"class\")= chr \"AsIs\" #>   ..$ geneID_expand  :'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     : chr [1:94] \"Anln\" \"Anp32e\" \"Aurka\" \"Aurkb\" ... #>   ..$ Ensembl_version: chr \"103\" #>   ..$ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   .. ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   .. ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   .. ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>   ..$ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   .. ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   .. ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   .. ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>   ..$ geneID_unmapped: chr(0)  #>  $ cc_S_genes  : chr [1:41] \"Mcm5\" \"Pcna\" \"Tyms\" \"Fen1\" ... #>  $ cc_G2M_genes: chr [1:53] \"Hmgb2\" \"Cdk1\" \"Nusap1\" \"Ube2c\" ..."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"CSS_integrate — CSS_integrate","title":"CSS_integrate — CSS_integrate","text":"CSS_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CSS_integrate — CSS_integrate","text":"","code":"CSS_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   CSS_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   CSS_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CSS_integrate — CSS_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"CellCorHeatmap — CellCorHeatmap","title":"CellCorHeatmap — CellCorHeatmap","text":"CellCorHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"CellCorHeatmap(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\",   legend_title = NULL,   border = TRUE,   flip = FALSE,   limits = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = \"left\",   column_names_side = \"top\",   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 90,   column_title_rot = 0,   nlabel = 0,   label_cutoff = 0,   label_by = \"row\",   label_size = 10,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   query_group_palette = \"Paired\",   query_group_palcolor = NULL,   ref_group_palette = \"simspec\",   ref_group_palcolor = NULL,   query_cell_annotation = NULL,   query_cell_annotation_palette = \"Paired\",   query_cell_annotation_palcolor = NULL,   query_cell_annotation_params = if (flip) list(height = grid::unit(1, \"cm\")) else     list(width = grid::unit(1, \"cm\")),   ref_cell_annotation = NULL,   ref_cell_annotation_palette = \"Paired\",   ref_cell_annotation_palcolor = NULL,   ref_cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else     list(height = grid::unit(1, \"cm\")),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellCorHeatmap — CellCorHeatmap","text":"raster_by_magick","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 10:45:11.310673] Start Standard_SCP #> [2023-09-11 10:45:11.311841] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 10:45:12.396329] Finished checking. #> [2023-09-11 10:45:12.396498] Perform ScaleData on the data... #> [2023-09-11 10:45:12.561935] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 10:45:13.417661] Perform FindClusters (louvain) on the data... #> [2023-09-11 10:45:13.533912] Reorder clusters... #> [2023-09-11 10:45:13.816596] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 10:45:20.255335] Standard_SCP done #> Elapsed time: 8.94 secs  ht1 <- CellCorHeatmap(srt_query = pancreas_sub, query_group = \"SubCellType\") #> Use the HVF to calculate distance metric. #> Use 2000 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht1$plot   data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-11 10:45:23.214941] Spliting srtMerge into srtList by column tech... ... #> [2023-09-11 10:45:23.76388] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 10:45:27.957665] Finished checking.  ht2 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub, nlabel = 3, label_cutoff = 0.6,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = \"Phase\", query_cell_annotation_palette = \"Set2\",   ref_cell_annotation = \"tech\", ref_cell_annotation_palette = \"Set3\",   width = 3, height = 2 ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", query_collapsing = FALSE, cluster_rows = TRUE,   ref_group = \"celltype\", ref_collapsing = FALSE, cluster_columns = TRUE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht3$plot   ht4 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   show_row_names = TRUE, show_column_names = TRUE,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\"),   ref_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\") ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht4$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"CellDensityPlot — CellDensityPlot","title":"CellDensityPlot — CellDensityPlot","text":"CellDensityPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellDensityPlot — CellDensityPlot","text":"","code":"CellDensityPlot(   srt,   features,   group.by,   split.by = NULL,   assay = NULL,   slot = \"data\",   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   decreasing = NULL,   palette = \"Paired\",   palcolor = NULL,   cells = NULL,   keep_empty = FALSE,   y.nbreaks = 4,   y.min = NULL,   y.max = NULL,   same.y.lims = FALSE,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellDensityPlot — CellDensityPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellDensityPlot — CellDensityPlot","text":"","code":"data(\"pancreas_sub\") CellDensityPlot(pancreas_sub, features = \"Sox9\", group.by = \"SubCellType\") #> Picking joint bandwidth of 0.453   pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", aspect.ratio = 1) #> Picking joint bandwidth of 0.663  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", flip = TRUE) #> Picking joint bandwidth of 0.663"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"Plotting cell points reduced 2D plane coloring according groups.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"CellDimPlot(   srt,   group.by,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   show_na = FALSE,   show_stat = TRUE,   pt.size = NULL,   pt.alpha = 1,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   stat.by = NULL,   stat_type = \"percent\",   stat_plot_type = \"pie\",   stat_plot_position = c(\"stack\", \"dodge\"),   stat_plot_size = 0.15,   stat_plot_palette = \"Set1\",   stat_palcolor = NULL,   stat_plot_alpha = 1,   stat_plot_label = FALSE,   stat_plot_label_size = 3,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   paga = NULL,   paga_type = \"connectivities\",   paga_node_size = 4,   paga_edge_threshold = 0.01,   paga_edge_size = c(0.2, 1),   paga_edge_color = \"grey40\",   paga_edge_alpha = 0.5,   paga_transition_threshold = 0.01,   paga_transition_size = c(0.2, 1),   paga_transition_color = \"black\",   paga_transition_alpha = 1,   paga_show_transition = FALSE,   velocity = NULL,   velocity_plot_type = \"raw\",   velocity_n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   velocity_density = 1,   velocity_smooth = 0.5,   velocity_scale = 1,   velocity_min_mass = 1,   velocity_cutoff_perc = 5,   velocity_arrow_color = \"black\",   velocity_arrow_angle = 20,   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   hex = FALSE,   hex.linewidth = 0.5,   hex.count = TRUE,   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions split.Name column meta.data column split plot . cells Subset cells plot. show_na Whether assign color color palette NA group. FALSE, cell points NA level colored bg_color. show_stat Whether show statistical information plot. pt.size Point size. pt.alpha Point transparency. palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. label Whether label cell groups. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether place raw labels (group names) center cells corresponding group. Default FALSE, using numbers instead raw labels. label_repel Logical value indicating whether label repel away center points. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points. label_segment_color Color line segment labels. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cell points. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. stat.name metadata column stat. stat_type Set stat types (\"percent\" \"count\"). stat_plot_type Set statistical plot type. stat_plot_position Position adjustment statistical plot. stat_plot_size Set statistical plot size. Defaults 0.1 stat_plot_palette Color palette used statistical plot stat_palcolor Custom colors used statistical plot stat_plot_alpha Transparency statistical plot. stat_plot_label Whether add labels statistical plot. stat_plot_label_size Label size statistical plot. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. paga Specify calculated paga results add PAGA graph layer plot. paga_type PAGA plot type. \"connectivities\" \"connectivities_tree\". paga_node_size Size nodes PAGA plot. paga_edge_threshold Threshold edge connectivities PAGA plot. paga_edge_size Size edges PAGA plot. paga_edge_color Color edges PAGA plot. paga_edge_alpha Transparency edges PAGA plot. paga_transition_threshold Threshold transition edges PAGA plot. paga_transition_size Size transition edges PAGA plot. paga_transition_color Color transition edges PAGA plot. paga_transition_alpha Transparency transition edges PAGA plot. paga_show_transition Whether show transitions edges. velocity Specify calculated RNA velocity mode add velocity layer plot. velocity_plot_type Set velocity plot type. velocity_n_neighbors Set number neighbors used velocity plot. velocity_density Set density value used velocity plot. velocity_smooth Set smooth value used velocity plot. velocity_scale Set scale value used velocity plot. velocity_min_mass Set min_mass value used velocity plot. velocity_cutoff_perc Set cutoff_perc value used velocity plot. velocity_arrow_color Color arrows velocity plot. velocity_arrow_angle Angle arrows velocity plot. streamline_L Typical length streamline x y units streamline_minL Minimum length segments show. streamline_res Resolution parameter (higher numbers increases resolution). streamline_n Number points draw. streamline_width Size streamline. streamline_alpha Transparency streamline. streamline_color Color streamline. streamline_palette Color palette used streamline. streamline_palcolor Custom colors used streamline. streamline_bg_color Background color streamline. streamline_bg_stroke Border width streamline background. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.count Whether show cell counts hexagonal bin. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless maximum levels cell group greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"single ggplot/patchwork object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"library(dplyr) #>  #> Attaching package: ‘dplyr’ #> The following object is masked from ‘package:AnnotationDbi’: #>  #>     select #> The following objects are masked from ‘package:IRanges’: #>  #>     collapse, desc, intersect, setdiff, slice, union #> The following objects are masked from ‘package:S4Vectors’: #>  #>     first, intersect, rename, setdiff, setequal, union #> The following object is masked from ‘package:Biobase’: #>  #>     combine #> The following objects are masked from ‘package:BiocGenerics’: #>  #>     combine, intersect, setdiff, union #> The following objects are masked from ‘package:stats’: #>  #>     filter, lag #> The following objects are masked from ‘package:base’: #>  #>     intersect, setdiff, setequal, union data(\"pancreas_sub\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   # Label and highlight cell points CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, label_insitu = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Epsilon\"] )  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Add statistical charts CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"ring\", stat_plot_label = TRUE, stat_plot_size = 0.15) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"bar\", stat_type = \"count\", stat_plot_position = \"dodge\")   # Chane the plot type from point to the hexagonal bin CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.count = FALSE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show neighbors graphs on the plot pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 10:46:23.400131] Start Standard_SCP #> [2023-09-11 10:46:23.400302] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 10:46:24.33092] Finished checking. #> [2023-09-11 10:46:24.331095] Perform ScaleData on the data... #> [2023-09-11 10:46:24.439269] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 10:46:25.178287] Perform FindClusters (louvain) on the data... #> [2023-09-11 10:46:25.287985] Reorder clusters... #> [2023-09-11 10:46:25.471558] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 10:46:32.609609] Standard_SCP done #> Elapsed time: 9.21 secs  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\", edge_color = \"grey80\")   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3)) #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_whiskers = TRUE) #> Warning: Removed 8 rows containing missing values (`geom_segment()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)   # Show PAGA results on the plot pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> Warning: SCP_env python environment does not exist. Create it with the PrepareEnv function... #> + /usr/share/miniconda/bin/conda 'create' '--yes' '--name' 'SCP_env' 'python=3.8' '--quiet' '-c' 'conda-forge' #> Try to install numpy==1.21.6,numba==0.55.2,scikit-learn==1.1.2,pandas==1.3.5,python-igraph==0.10.2,matplotlib==3.6.3,palantir==1.0.1,wot==1.0.8.post2,scipy,versioned-hdf5,leidenalg,scanpy,scvelo ... #> ====================== SCP conda environment ====================== #> conda: /usr/share/miniconda/bin/conda #> environment: /usr/share/miniconda/envs/SCP_env #> ======================== SCP python config ======================== #> python:         /usr/share/miniconda/envs/SCP_env/bin/python3.8 #> libpython:      /usr/share/miniconda/envs/SCP_env/lib/libpython3.8.so #> pythonhome:     /usr/share/miniconda/envs/SCP_env:/usr/share/miniconda/envs/SCP_env #> version:        3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:06:00)  [GCC 11.4.0] #> numpy:          /usr/share/miniconda/envs/SCP_env/lib/python3.8/site-packages/numpy #> numpy_version:  1.21.6 #>  #> NOTE: Python version was forced by use_python() function #> =================================================================== #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_type = \"connectivities_tree\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_repel = TRUE, label_insitu = TRUE, label_segment_color = \"transparent\",   paga = pancreas_sub@misc$paga, paga_edge_threshold = 0.1, paga_edge_color = \"black\", paga_edge_alpha = 1,   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )   # Show RNA velocity results on the plot pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", mode = \"stochastic\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_show_transition = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 4 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\") #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\", velocity_scale = 1.5) #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"stream\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_insitu = TRUE,   velocity = \"stochastic\", velocity_plot_type = \"stream\", velocity_arrow_color = \"yellow\",   velocity_density = 2, velocity_smooth = 1, streamline_n = 20, streamline_color = \"black\",   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"Plotting cell points reduced 3D space coloring according groups cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"CellDimPlot3D(   srt,   group.by,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   lineages = NULL,   lineage_palette = \"Dark2\",   span = 0.75,   arrow_reverse = FALSE,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. pt.size Point size. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cell points. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless maximum levels cell group greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 10:49:13.485985] Start Standard_SCP #> [2023-09-11 10:49:13.486188] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 10:49:14.587304] Finished checking. #> [2023-09-11 10:49:14.587492] Perform ScaleData on the data... #> [2023-09-11 10:49:14.694097] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 10:49:15.434025] Perform FindClusters (louvain) on the data... #> [2023-09-11 10:49:15.544848] Reorder clusters... #> [2023-09-11 10:49:15.723271] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 10:49:22.673551] Standard_SCP done #> Elapsed time: 9.19 secs  CellDimPlot3D(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\")  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group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
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group.by:Ductal
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group.by:Ngn3 low EP
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group.by:Ductal
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group.by:Alpha
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color:Ductal\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
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color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
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color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
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color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
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color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
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color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
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color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
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color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
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color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
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color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
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group.by:Ngn3 low EP
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color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
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color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
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group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
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color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
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color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
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color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
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color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
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color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
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color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
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color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
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color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
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color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
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color:Alpha\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(255,127,0,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(255,127,0,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Alpha\",\"textfont\":{\"color\":\"rgba(255,127,0,1)\"},\"error_y\":{\"color\":\"rgba(255,127,0,1)\"},\"error_x\":{\"color\":\"rgba(255,127,0,1)\"},\"line\":{\"color\":\"rgba(255,127,0,1)\"},\"frame\":null},{\"x\":[2.793688661452383,3.2613741224966946,2.6745559042654934,2.4691897696219387,3.2486630743704739,3.1013876265250149,2.3361758059225979,2.5643507307730617,2.3560041254721584,2.3313630884848537,2.6357158487997951,2.4152344530783596,2.8252738779745998,2.5578230684958401,2.7272015875540676,2.479031211730093,2.7370964354239407,2.3576153582297268],\"y\":[0.070623842870816578,0.1226136366482824,0.10801014105044304,0.053220657503232349,0.19655898014269768,0.013699082529172291,0.18593749204836785,0.27336951891146599,0.15909203687869011,0.26178195873461663,0.08589747348986565,0.15554716983996331,-0.00096622308529914491,0.10245349804125725,0.032042411958798755,0.23960020939074456,-0.01739844878949226,0.22291055122576653],\"z\":[2.2997942810812964,1.9235921746054665,2.415010178641416,2.6543135290900244,1.9238834028998391,2.1563965922156347,2.7292678004065527,2.4989740496436132,2.6990682726660742,2.7361378317633642,2.455823863104917,2.6428641920844091,2.2701818590918554,2.5116467123785986,2.4049763327399267,2.5852379446784033,2.3558253889838232,2.7110910063544287],\"text\":[\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(251,154,153,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(251,154,153,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Delta\",\"textfont\":{\"color\":\"rgba(251,154,153,1)\"},\"error_y\":{\"color\":\"rgba(251,154,153,1)\"},\"error_x\":{\"color\":\"rgba(251,154,153,1)\"},\"line\":{\"color\":\"rgba(251,154,153,1)\"},\"frame\":null},{\"x\":[3.8172012633048,3.9640418356619778,4.0921779936514797,4.1104151076041164,4.1845375364981594,4.1118885344229641,3.8757530516348782,4.3496514624319973,3.8364697760306301,4.0921040838919582,3.8910366362296047,3.86671937167272,4.0656186407767239,4.0860859221182766,3.64369691073522,4.0735517805777492,4.0419470137320461,4.019373065825552,4.0086442297659817,3.9628754919730129,3.8232137030325832,3.784641391631216,3.8982225722037258,3.8025161093436184,4.1205469435416164,4.0269590681754055,3.834314472075552,4.1854006117545071,4.098847991820425,4.2035375899039211,4.0021592444144192,4.1749731367789211],\"y\":[-1.1458798964861781,-1.3012585361842066,-2.0352490862254053,-2.3230533321741968,-2.493720861280337,-2.9189573248270899,-1.545060189569369,-3.6142457445506007,-1.4805615266207606,-2.8548248728159815,-1.2251872738245875,-1.6241277178172022,-1.7047620733622462,-2.6839514692667872,-1.3848834355715662,-2.8300114591959864,-2.562305541837588,-1.5894029458407313,-1.9238525350932032,-1.3171585520152003,-1.3056107481364161,-1.4506988843325526,-1.7402947862986475,-1.169714810455218,-2.4311220367792994,-1.2190810163859278,-1.3806635459307581,-2.5046910961512476,-2.640328617895022,-3.2087076624277979,-1.5525943954829127,-2.5892675836924464],\"z\":[3.5603587275305761,3.0363416319647802,3.3926832323828711,3.2868349200049414,3.1031601076880468,3.1063513403693213,3.7029113417426123,2.2332950478354467,3.739574158743955,3.2407769804755224,3.1538161879340185,3.7083072310248388,3.1442126875678076,3.3176071291724218,3.7040762549201025,3.214291298941709,3.3964278345862402,3.0861770754614843,3.5408041125098242,3.0596899634161963,3.5063635950842871,3.7532853728095068,3.6653802042761816,3.5099353438178076,3.1888248568335547,2.9130816107550634,3.6451568251410498,3.0938043242255224,3.2434551363745703,2.8631963377753271,3.2229990607062353,3.077028000907041],\"text\":[\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(227,26,28,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(227,26,28,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Epsilon\",\"textfont\":{\"color\":\"rgba(227,26,28,1)\"},\"error_y\":{\"color\":\"rgba(227,26,28,1)\"},\"error_x\":{\"color\":\"rgba(227,26,28,1)\"},\"line\":{\"color\":\"rgba(227,26,28,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]} pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = 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group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
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color:Ngn3 high EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
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group.by:Ductal
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group.by:Alpha
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color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
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color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
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color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
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color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
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color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
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color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
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color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
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color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
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color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
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color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
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group.by:Ngn3 low EP
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color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
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color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
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group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
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color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
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color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
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color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
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color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
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color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
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color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
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group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
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color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
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color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
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color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
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— CellScoring","title":"CellScoring — CellScoring","text":"CellScoring","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellScoring — CellScoring","text":"","code":"CellScoring(   srt,   features = NULL,   slot = \"data\",   assay = NULL,   split.by = NULL,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   termnames = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   minGSSize = 10,   maxGSSize = 500,   method = \"Seurat\",   classification = TRUE,   name = \"\",   new_assay = FALSE,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellScoring — CellScoring","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellScoring — CellScoring","text":"","code":"data(\"pancreas_sub\") ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Using cached conversion results for Mus_musculus pancreas_sub <- CellScoring(   srt = pancreas_sub,   features = list(S = ccgenes$cc_S_genes, G2M = ccgenes$cc_G2M_genes),   method = \"Seurat\", name = \"CC\" ) #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2 #> [2023-09-11 10:49:26.046947] Start CellScoring #> Workers: 1 #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:49:26.252448] CellScoring done #> Elapsed time:0.21 secs CellDimPlot(pancreas_sub, \"CC_classification\")  FeatureDimPlot(pancreas_sub, \"CC_G2M\")   if (FALSE) { data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub,   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  panc8_sub <- CellScoring(   srt = panc8_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Homo_sapiens\",   minGSSize = 10, maxGSSize = 100,   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) panc8_sub <- Integration_SCP(panc8_sub,   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  pancreas_sub <- CellScoring(   srt = pancreas_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Mus_musculus\",   termnames = panc8_sub[[\"GO\"]]@meta.features[, \"termnames\"],   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) pancreas_sub <- Standard_SCP(pancreas_sub, assay = \"GO\") CellDimPlot(pancreas_sub, \"SubCellType\")  pancreas_sub[[\"tech\"]] <- \"Mouse\" panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\"))  genenames <- make.unique(capitalize(rownames(panc8_sub[[\"RNA\"]]), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames, assay = \"RNA\") head(rownames(panc8_sub)) panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"RNA\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\")) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of cells — CellStatPlot","title":"Statistical plot of cells — CellStatPlot","text":"Statistical plot cells","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of cells — CellStatPlot","text":"","code":"CellStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   cells = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of cells — CellStatPlot","text":"srt Seurat object. stat.name metadata column counted. seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of cells — CellStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE) %>% panel_fix(height = 2, width = 3)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", stat_type = \"count\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", bg.by = \"CellType\", palette = \"Set1\", stat_type = \"count\", position = \"dodge\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"pie\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"dot\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", individual = TRUE)   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\", position = \"dodge\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`geom_col()`). #> Warning: Removed 1 rows containing missing values (`geom_text_repel()`).   CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"sankey\")  CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"chord\")   CellStatPlot(pancreas_sub,   stat.by = c(\"CellType\", \"Phase\"), plot_type = \"venn\",   stat_level = list(CellType = c(\"Ductal\", \"Ngn3 low EP\"), Phase = \"S\") )  pancreas_sub$Progenitor <- pancreas_sub$CellType %in% c(\"Ngn3 low EP\", \"Ngn3 high EP\") pancreas_sub$G2M <- pancreas_sub$Phase == \"G2M\" pancreas_sub$Sox9_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Sox9\", ] > 0 pancreas_sub$Neurog3_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Neurog3\", ] > 0 CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"venn\", stat_level = \"TRUE\")  CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"upset\", stat_level = \"TRUE\")  sum(pancreas_sub$Progenitor == \"FALSE\" &   pancreas_sub$G2M == \"FALSE\" &   pancreas_sub$Sox9_Expressed == \"TRUE\" &   pancreas_sub$Neurog3_Expressed == \"FALSE\") #> [1] 218"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Combat_integrate — ComBat_integrate","title":"Combat_integrate — ComBat_integrate","text":"Combat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Combat_integrate — ComBat_integrate","text":"","code":"ComBat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   ComBat_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Combat_integrate — ComBat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Conos_integrate — Conos_integrate","title":"Conos_integrate — Conos_integrate","text":"Conos_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conos_integrate — Conos_integrate","text":"","code":"Conos_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   buildGraph_params = list(),   num_threads = 2,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conos_integrate — Conos_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateDataFile — CreateDataFile","title":"CreateDataFile — CreateDataFile","text":"CreateDataFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateDataFile — CreateDataFile","text":"","code":"CreateDataFile(   srt,   DataFile,   name = NULL,   assays = \"RNA\",   slots = \"data\",   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateDataFile — CreateDataFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateMetaFile — CreateMetaFile","title":"CreateMetaFile — CreateMetaFile","text":"CreateMetaFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateMetaFile — CreateMetaFile","text":"","code":"CreateMetaFile(   srt,   MetaFile,   name = NULL,   write_tools = FALSE,   write_misc = FALSE,   ignore_nlevel = 100,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateMetaFile — CreateMetaFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the default reduction name in a Seurat object. — DefaultReduction","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Find default reduction name Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"DefaultReduction(srt, pattern = NULL, min_dim = 2, max_distance = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"srt Seurat object. pattern Character string containing regular expression search . min_dim Minimum dimension threshold. max_distance Maximum distance allowed match.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Default reduction name.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"data(\"pancreas_sub\") names(pancreas_sub@reductions) #> [1] \"PCA\"  \"UMAP\" DefaultReduction(pancreas_sub) #> [1] \"UMAP\"  # Searches for matches to \"pca\" DefaultReduction(pancreas_sub, pattern = \"pca\") #> [1] \"PCA\"  # Searches for approximate matches to \"pc\" DefaultReduction(pancreas_sub, pattern = \"pc\") #> [1] \"PCA\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"Heatmap plot dynamic features along lineages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"DynamicHeatmap(   srt,   lineages,   features = NULL,   num_intersections = NULL,   use_fitted = FALSE,   border = TRUE,   flip = FALSE,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   cell_density = 1,   cell_bins = 100,   order_by = c(\"peaktime\", \"valleytime\"),   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   family = NULL,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_row_slices = FALSE,   cluster_columns = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"mfuzz\", \"kmeans\", \"kmeans-peaktime\", \"hclust\", \"hclust-peaktime\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   pseudotime_label = NULL,   pseudotime_label_color = \"black\",   pseudotime_label_linetype = 2,   pseudotime_label_linewidth = 3,   heatmap_palette = \"viridis\",   heatmap_palcolor = NULL,   pseudotime_palette = \"cividis\",   pseudotime_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   separate_annotation = NULL,   separate_annotation_palette = \"Paired\",   separate_annotation_palcolor = NULL,   separate_annotation_params = if (flip) list(width = grid::unit(2, \"cm\")) else     list(height = grid::unit(2, \"cm\")),   reverse_ht = NULL,   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-11 10:49:55.31549] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:50:18.178586] RunDynamicFeatures done #> Elapsed time:22.86 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   n_split = 5,   split_method = \"kmeans-peaktime\",   cell_annotation = \"SubCellType\" ) #> 151 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot  panel_fix(ht1$plot, raster = TRUE, dpi = 50)   ht2 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\", \"Pyy\", \"S_score\", \"G2M_score\"),   cell_annotation = \"SubCellType\" ) #> [2023-09-11 10:50:21.500119] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2 #> Warning: Negative values detected! #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:50:23.101084] RunDynamicFeatures done #> Elapsed time:1.6 secs #> Some features were missing in at least one lineage:  #> Isl1,Neurod2,Pyy,Rbp4,Sox9... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot  panel_fix(ht2$plot, height = 5, width = 5, raster = TRUE, dpi = 50)   ht3 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   n_split = 5,   split_method = \"kmeans\",   cluster_rows = TRUE,   cell_annotation = \"SubCellType\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-11 10:42:42.167306 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-11 10:42:45.334488 ht4 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(height = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> Warning: no DISPLAY variable so Tk is not available #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht4$plot   ht5 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(width = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\",   flip = TRUE, column_title_rot = 45 ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht5$plot   ht6 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 5, split_method = \"mfuzz\",   species = \"Mus_musculus\", db = \"GO_BP\",   anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-11 10:50:46.813008] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: GO_BP #> Convert ID types for the database: GO_BP #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 22192 genes mapped with entrez_id #> ============================== #> 22192 genes mapped #> 6372 genes unmapped #> ============================== #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:52:56.409866] Enrichment done #> Elapsed time:2.16 mins #> The size of the heatmap will be fixed as some elements are not scalable. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot for dynamic features along lineages. — DynamicPlot","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"Plot dynamic features along lineages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"DynamicPlot(   srt,   features,   lineages,   group.by = NULL,   cells = NULL,   slot = \"counts\",   assay = NULL,   family = NULL,   exp_method = c(\"log1p\", \"raw\", \"zscore\", \"fc\", \"log2fc\"),   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   compare_lineages = TRUE,   compare_features = FALSE,   add_line = TRUE,   add_interval = TRUE,   line.size = 1,   line_palette = \"Dark2\",   line_palcolor = NULL,   add_point = TRUE,   pt.size = 1,   point_palette = \"Paired\",   point_palcolor = NULL,   add_rug = TRUE,   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   aspect.ratio = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)  DynamicPlot(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_features = TRUE ) #> [2023-09-11 10:54:09.430965] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:54:11.227781] RunDynamicFeatures done #> Elapsed time:1.8 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE ) #> [2023-09-11 10:54:11.800775] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:54:13.520733] RunDynamicFeatures done #> Elapsed time:1.72 secs #> [2023-09-11 10:54:13.522686] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:54:15.090027] RunDynamicFeatures done #> Elapsed time:1.57 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = FALSE,   compare_features = FALSE ) #> [2023-09-11 10:54:16.417272] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:54:18.114286] RunDynamicFeatures done #> Elapsed time:1.7 secs #> [2023-09-11 10:54:18.116116] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:54:19.687859] RunDynamicFeatures done #> Elapsed time:1.57 secs"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"EnrichmentPlot — EnrichmentPlot","title":"EnrichmentPlot — EnrichmentPlot","text":"EnrichmentPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"EnrichmentPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"bar\", \"dot\", \"lollipop\", \"network\", \"enrichmap\", \"wordcloud\",     \"comparison\"),   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   compare_only_sig = FALSE,   topTerm = ifelse(plot_type == \"enrichmap\", 100, 6),   topWord = 100,   word_type = c(\"term\", \"feature\"),   word_size = c(2, 8),   min_word_length = 3,   network_layout = \"fr\",   network_labelsize = 5,   network_blendmode = \"blend\",   network_layoutadjust = TRUE,   network_adjscale = 60,   network_adjiter = 100,   enrichmap_layout = \"fr\",   enrichmap_cluster = \"fast_greedy\",   enrichmap_label = c(\"term\", \"feature\"),   enrichmap_labelsize = 5,   enrlichmap_nlabel = 4,   enrichmap_show_keyword = FALSE,   enrichmap_mark = c(\"ellipse\", \"hull\"),   enrichmap_expand = c(0.5, 0.5),   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   character_width = 50,   lineheight = 0.7,   palette = \"Spectral\",   palcolor = NULL,   aspect.ratio = 1,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EnrichmentPlot — EnrichmentPlot","text":"plot_type Type plot visualized. pvalueCutoff pvalueCutoff padjustCutoff padjustCutoff topTerm Number terms plot plot_type=\"bar\" plot_type=\"lollipop\". topWord Number features plot plot_type=\"wordcloud\". palette palette combine combine nrow nrow ncol ncol byrow byrow seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 10:54:25.894313] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:54:29.2677] DEtest done #> Elapsed time:3.37 secs pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", species = \"Mus_musculus\") #> [2023-09-11 10:54:29.270421] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:55:12.814481] Enrichment done #> Elapsed time:43.54 secs EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", plot_type = \"bar\")  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\", character_width = 30,   theme_use = ggplot2::theme_classic, theme_args = list(base_size = 10) )  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE) #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.    EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"bar\", ncol = 1)  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"dot\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"lollipop\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\", word_type = \"feature\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", id_use = c(\"GO:0050678\", \"GO:0035270\", \"GO:0090276\", \"GO:0030073\"))  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", network_layoutadjust = FALSE)  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\",   topTerm = 4, network_blendmode = \"average\",   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 5)   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\", enrichmap_expand = c(2, 1))  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   enrichmap_show_keyword = TRUE, character_width = 10 )  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   topTerm = 200, enrichmap_mark = \"hull\", enrichmap_label = \"feature\", enrlichmap_nlabel = 3, character_width = 10,   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 4)   pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", convert_species = TRUE, species = \"Mus_musculus\") #> [2023-09-11 10:55:52.199165] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MP #> Preparing database: DO #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:56:21.294849] Enrichment done #> Elapsed time:29.1 secs EnrichmentPlot(pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", group_use = \"Endocrine\", ncol = 1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Features correlation plot — FeatureCorPlot","title":"Features correlation plot — FeatureCorPlot","text":"Features correlation plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Features correlation plot — FeatureCorPlot","text":"","code":"FeatureCorPlot(   srt,   features,   group.by = NULL,   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   cor_method = \"pearson\",   adjust = 1,   margin = 1,   reverse = FALSE,   add_equation = FALSE,   add_r2 = TRUE,   add_pvalue = TRUE,   add_smooth = TRUE,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = NULL,   pt.alpha = 1,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Features correlation plot — FeatureCorPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Features correlation plot — FeatureCorPlot","text":"","code":"data(\"pancreas_sub\") FeatureCorPlot(pancreas_sub, features = c(\"Ghrl\", \"Gcg\", \"Ins1\", \"Ins2\"), group.by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"Plotting cell points reduced 2D plane coloring according values features.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"FeatureDimPlot(   srt,   features,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   show_stat = TRUE,   palette = ifelse(isTRUE(compare_features), \"Set1\", \"Spectral\"),   palcolor = NULL,   pt.size = NULL,   pt.alpha = 1,   bg_cutoff = 0,   bg_color = \"grey80\",   keep_scale = NULL,   lower_quantile = 0,   upper_quantile = 0.99,   lower_cutoff = NULL,   upper_cutoff = NULL,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   compare_features = FALSE,   color_blend_mode = c(\"blend\", \"average\", \"screen\", \"multiply\"),   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   hex = FALSE,   hex.linewidth = 0.5,   hex.color = \"grey90\",   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . cells Subset cells plot. slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. show_stat Whether show statistical information plot. palette Name color palette name collected SCP. palcolor Custom colors used create color palette. pt.size Point size plotting. pt.alpha Point transparency. bg_cutoff Background cutoff. Points feature values lower cutoff considered background colored bg_color. bg_color Color value background points. keep_scale handle color scale across multiple plots. Options : NULL (scaling): individual plot scaled maximum expression value feature condition provided 'split.'. aware setting NULL result color scales comparable plots. \"feature\" (default; row/feature scaling): plots individual feature scaled maximum expression feature across conditions provided 'split.'. \"\" (universal scaling): plots features conditions scaled maximum expression value feature highest overall expression. lower_quantile, upper_quantile, lower_cutoff, upper_cutoff Vector minimum maximum cutoff values quantile values feature. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cells. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. calculate_coexp Whether calculate co-expression value (geometric mean) features. compare_features Whether show values multiple features single plot. color_blend_mode Blend mode use compare_features = TRUE label Whether feature name labeled center location cells wieh high expression. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether labels feature names instead numbers. Valid compare_features = TRUE. label_repel Logical value indicating whether label repel away center location. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points label_segment_color Color line segment labels. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.color Border color hexagonal bins. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless number features greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"single ggplot object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 10:56:39.8385] Start Standard_SCP #> [2023-09-11 10:56:39.838704] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 10:56:40.922136] Finished checking. #> [2023-09-11 10:56:40.92234] Perform ScaleData on the data... #> [2023-09-11 10:56:41.141297] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 10:56:41.885335] Perform FindClusters (louvain) on the data... #> [2023-09-11 10:56:41.999165] Reorder clusters... #> [2023-09-11 10:56:42.204903] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 10:56:50.429968] Standard_SCP done #> Elapsed time: 10.59 secs  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", bg_cutoff = -Inf)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   FeatureDimPlot(pancreas_sub, features = c(\"StandardPC_1\", \"StandardPC_2\"), reduction = \"UMAP\", bg_cutoff = -Inf)   # Label and highlight cell points FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", reduction = \"UMAP\", label = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Delta\"] )  FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Chane the plot type from point to the hexagonal bin FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 3 rows containing missing values (`geom_hex()`). #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\")  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_whiskers = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_span = 0.1)   FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_quantile = 0, upper_quantile = 0.8)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_cutoff = 1, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", bg_cutoff = 2, lower_cutoff = 2, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", keep_scale = \"all\")  FeatureDimPlot(pancreas_sub, c(\"Sst\", \"Ghrl\"), split.by = \"Phase\", reduction = \"UMAP\", keep_scale = \"feature\")   FeatureDimPlot(pancreas_sub,   features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), pt.size = 1,   compare_features = TRUE, color_blend_mode = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"blend\", title = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"average\", title = \"average\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"screen\", title = \"screen\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"multiply\", title = \"multiply\",   label = TRUE, label_insitu = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"Plotting cell points reduced 3D space coloring according gene expression cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"FeatureDimPlot3D(   srt,   features = NULL,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   split.by = NULL,   slot = \"data\",   assay = NULL,   calculate_coexp = FALSE,   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. calculate_coexp Whether calculate co-expression value (geometric mean) features. pt.size Point size plotting. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cells. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless number features greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 10:57:15.309062] Start Standard_SCP #> [2023-09-11 10:57:15.309278] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 10:57:16.292195] Finished checking. #> [2023-09-11 10:57:16.292402] Perform ScaleData on the data... #> [2023-09-11 10:57:16.487089] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 10:57:17.229202] Perform FindClusters (louvain) on the data... #> [2023-09-11 10:57:17.34346] Reorder clusters... #> [2023-09-11 10:57:17.529036] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 10:57:25.417392] Standard_SCP done #> Elapsed time: 10.11 secs  FeatureDimPlot3D(pancreas_sub, features = c(\"Ghrl\", \"Ins1\", \"Gcg\", \"Ins2\"), reduction = \"StandardpcaUMAP3D\")  {\"x\":{\"visdat\":{\"1f8a4b51696\":[\"function () \",\"plotlyVisDat\"],\"1f8a2cffa12a\":[\"function () 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Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
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split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
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split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
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split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
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split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
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split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
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split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
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split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
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split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
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split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
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split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
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split.by:All_cells\",\"Cell:CACTCCACATATGGTC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
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split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
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split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
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split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
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split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
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split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
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split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
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split.by:All_cells\",\"Cell:GTACGTACATCGATGT
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split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
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split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
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split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
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split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0.84
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:1.139
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0.853
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:1.481
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0.91
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0.844
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0.902
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.535
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:1.109
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0.812
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:6.57
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0.957
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:4.927
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0.908
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0.757
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:1.09
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.85
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:3.257
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:5.136
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:6.653
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0.842
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.53
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.589
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:5.156
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.484
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0.947
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0.921
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:5.314
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:6.473
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:5.872
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.411
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:1.036
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0.993
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:6.419
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0.937
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:2.554
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:2.015
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0.84
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:1.117
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:1.355
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:3.673
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:2.156
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.391
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0.497
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:4.099
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0.89
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0.822
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0.901
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0.969
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:1.203
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0.927
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:1.137
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.416
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:4.596
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0.903
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:6.061
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:5.461
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:1.089
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:1.113
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:1.08
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:5.028
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0.861
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:4.124
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.577
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:4.219
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:3.683
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0.939
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:4.766
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:2.499
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:4.628
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.64
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:6.349
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0.913
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:1.182
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0.778
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:2.013
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:6.37
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0.862
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.757
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0.741
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:1.142
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:5.525
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0.938
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:1.021
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.981
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0.964
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0.528
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.742
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0.896
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:5.63
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0.587
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:5.36
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:6.144
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:5.156
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:1
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:5.796
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:1.104
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0.699
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:6.552
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0.556
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:1.765
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:1.046
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0.878
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:1.058
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.222
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0.996
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.386
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:5.28
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0.737
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:1.008
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0.91
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0.9
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.887
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:6.839
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:1.127
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0.791
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:1.073
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0.942
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.049
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:1.027
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:1.02
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:7.169
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0.815
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:4.114
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0.575
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0.899
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:5.145
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:5.732
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0.916
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0.794
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:2.825
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:6.059
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:4.643
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0.963
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:4.015
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0.93
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:1.311
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:5.314
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.839
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0.995
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0.924
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:1.338
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:6.059
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:4.824
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:1.323
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:5.795
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:6.468
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:2.958
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:1.4
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:1.116
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0.745
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:6.055
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:6.272
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0.947
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:1.014
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:6.176
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.768
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.313
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:3.458
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.712
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:1.592
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:5.345
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:1.096
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.012
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:1.886
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:3.132
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:1.62
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:1.694
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:1.29
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0.91
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:6.192
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0.939
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:6.366
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:1.25
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0.842
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0.948
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
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split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
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split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
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split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
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split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
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split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
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split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
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split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
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split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
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split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
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Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:3.493
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:6.349
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:1.038
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:5.73
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0.783
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:1.306
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:5.984
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:5.254
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:6.46
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0.584
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:2.533
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:1.42
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:5.216
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0.884
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:3.02
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0.924
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:4.731
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:6.515
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:6.334
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:4.903
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0.734
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:3.131
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0.691
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0.943
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:5.825
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0.887
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:1.015
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:1.351
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:6.297
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:1.18
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:1.111
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0.897
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:1.011
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:4.91
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:7.089
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:1.007
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:6.82
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:6.297
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0.566
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0.666
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:1.36
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:3.925
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0.685
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:6.43
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:5.821
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:6.856
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:1.507
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0.719
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:1.576
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:6.048
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:1.067
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:1.399
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:2.386
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:4.293
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:1.113
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0.911
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0.702
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:6.368
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:5.618
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0.825
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0.924
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:1.217
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:2.579
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:6.646
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:0
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0.675
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:4.507
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:5.662
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.934
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:5.585
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:1.378
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0.735
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:6.191
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0.683
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:5.53
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:1.197
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:2.681
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:1.03
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:4.036
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0.667
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:6.224
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0.705
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0.814
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:1.062
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:4.437
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:1.249
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:6.458
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:1.062
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:6.476
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:1.071
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:2.536
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:1.916
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:2.205
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:1.134
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:3.255
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0.995
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0.873
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:5.921
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0.996
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:4.545
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:2.727
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:6.203
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:4.692
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:6.885
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.539
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0.913
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:4.965
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:6.664
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0.459
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:3.575
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:6.355
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:6.37
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0.924
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0.458
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:1.069
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:2.05
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:6.376
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:5.968
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:1.2
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0.83
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.136
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:1.195
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0.668
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0.814
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:6.505
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:1.01
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:6.843
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:6.682
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:1.584
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:6.219
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:1.064
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:5.62
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:4.867
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:6.057
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:1.002
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0.649
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:7.095
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:5.09
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.645
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:1.27
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:4.442
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.14
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:5.553
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:6.877
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:1.013
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:1.085
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:2.827
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0.886
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:1.117
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:6.699
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:5.622
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0.718
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:6.716
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:0.83
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0.875
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0.796
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:6.084
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:5.749
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:5.952
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0.583
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:6.769
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:6.64
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
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Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
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split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
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split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
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split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
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split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
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split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
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split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
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split.by:All_cells\",\"Cell:CTCACACGTCACACGC
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split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
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split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
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split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
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split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
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split.by:All_cells\",\"Cell:CACTCCACATATGGTC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
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split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
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split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
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split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
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split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
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split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
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split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
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split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
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split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
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split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
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split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
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split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0.886
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:2.314
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0.975
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:4.837
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:3.477
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.69
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:2.694
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:4.918
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:3.315
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:1.731
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.362
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:2.982
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:4.816
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:4.8
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:1.223
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.432
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:4.712
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.391
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:4.41
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:4.441
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:1.461
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:4.938
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.788
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:4.001
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:5.215
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:1.317
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0.862
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:1.068
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.894
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0.7
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:4.248
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.141
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:3.402
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:4.644
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:4.435
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:4.669
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:2.888
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:3.415
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.072
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:3.238
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:4.992
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:3.533
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:2.592
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:1.885
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:1.549
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:3.699
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:5.201
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:4.483
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.126
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:4.442
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0.906
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0.924
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:1.127
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.24
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.421
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:1.229
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:4.371
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:4.473
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:5.257
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:4.17
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:4.908
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:5.595
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:4.08
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0.961
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:2.147
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.067
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.758
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:2.754
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:4.659
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:5.933
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:1.186
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.646
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:5.499
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:3.554
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:3.394
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:4.163
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:3.255
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:1.139
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:5.66
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:5.119
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:2.746
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:2.979
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:1.787
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:1.115
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:2.056
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:4.89
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:3.706
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:4.696
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:4.66
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0.762
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:3.856
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.589
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:5.286
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:5.89
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.6
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.114
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:4.027
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0.865
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.393
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:0
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:3.755
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.222
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:2.609
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:2.134
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:1.379
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:4.636
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:5.053
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
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Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
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split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
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split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
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split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
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split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
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split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
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split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
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split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
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split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
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split.by:All_cells\",\"Cell:GAACATCAGCAATATG
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split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
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split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
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split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
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split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
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split.by:All_cells\",\"Cell:CTCACACGTCACACGC
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split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
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split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
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split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
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split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
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split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
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split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
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split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
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split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
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split.by:All_cells\",\"Cell:CACTCCACATATGGTC
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split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
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split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
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split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
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split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
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split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
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split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
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split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
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split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
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split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
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split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
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split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
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split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
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split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
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split.by:All_cells\",\"Cell:TACCTTATCCGATATG
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split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
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split.by:All_cells\",\"Cell:GTACGTACATCGATGT
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split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
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split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
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split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
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split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
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split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
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split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
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— FeatureHeatmap","title":"FeatureHeatmap — FeatureHeatmap","text":"FeatureHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"FeatureHeatmap(   srt,   features = NULL,   cells = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   max_cells = 100,   cell_order = NULL,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"FeatureHeatmap — FeatureHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 10:57:27.364408] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:57:30.518544] DEtest done #> Elapsed time:3.15 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht1 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\", ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   ht2 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = c(\"CellType\", \"SubCellType\"), n_split = 4,   cluster_rows = TRUE, cluster_row_slices = TRUE, cluster_columns = TRUE, cluster_column_slices = TRUE,   ht_params = list(row_gap = grid::unit(0, \"mm\")) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-11 10:57:52.174999] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 10:58:27.41245] Enrichment done #> Elapsed time:35.24 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-11 10:42:42.167306 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-11 10:42:45.334488 ht4 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht4$plot   ht5 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\"),   flip = TRUE, column_title_rot = 45 ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht5$plot   pancreas_sub <- RunPAGA(   srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. ht6 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, nlabel = 10,   cell_order = names(sort(pancreas_sub$dpt_pseudotime)),   cell_annotation = c(\"CellType\", \"dpt_pseudotime\"),   cell_annotation_palette = c(\"Paired\", \"cividis\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of features — FeatureStatPlot","title":"Statistical plot of features — FeatureStatPlot","text":"Statistical plot features","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"FeatureStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   fill.by = c(\"group\", \"feature\", \"expression\"),   cells = NULL,   slot = c(\"data\", \"counts\"),   assay = NULL,   keep_empty = FALSE,   individual = FALSE,   plot_type = c(\"violin\", \"box\", \"bar\", \"dot\", \"col\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   add_box = FALSE,   box_color = \"black\",   box_width = 0.1,   box_ptsize = 2,   add_point = FALSE,   pt.color = \"grey30\",   pt.size = NULL,   pt.alpha = 1,   jitter.width = 0.5,   add_trend = FALSE,   trend_color = \"black\",   trend_linewidth = 1,   trend_ptsize = 2,   add_stat = c(\"none\", \"mean\", \"median\"),   stat_color = \"black\",   stat_size = 1,   cells.highlight = NULL,   cols.highlight = \"red\",   sizes.highlight = 1,   alpha.highlight = 1,   calculate_coexp = FALSE,   same.y.lims = FALSE,   y.min = NULL,   y.max = NULL,   y.trans = \"identity\",   y.nbreaks = 5,   sort = FALSE,   stack = FALSE,   flip = FALSE,   comparisons = NULL,   ref_group = NULL,   pairwise_method = \"wilcox.test\",   sig_label = c(\"p.signif\", \"p.format\"),   multiplegroup_comparisons = FALSE,   multiple_method = \"kruskal.test\",   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = \"Expression level\",   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of features — FeatureStatPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\") %>% panel_fix(height = 1, width = 2)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"box\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"bar\") #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required.  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"dot\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"col\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_box = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_point = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", add_box = TRUE, add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", comparisons = TRUE) #> Warning: Detected more than 2 groups. Use multiple_method for comparison #> Warning: Detected more than 2 groups. Use multiple_method for comparison  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", fill.by = \"expression\", palette = \"Blues\", same.y.lims = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", multiplegroup_comparisons = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")))  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")), sig_label = \"p.format\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", bg.by = \"CellType\", add_box = TRUE, stack = TRUE)  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   legend.position = \"top\", legend.direction = \"horizontal\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE )  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   fill.by = \"feature\", plot_type = \"box\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE, flip = TRUE ) %>% panel_fix_single(width = 8, height = 5) # Because the plot is made by combining, we want to adjust the overall height and width"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":null,"dir":"Reference","previous_headings":"","what":"Fetch data from the hdf5 file — FetchH5","title":"Fetch data from the hdf5 file — FetchH5","text":"Fetch data hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"FetchH5(   DataFile,   MetaFile,   name = NULL,   features = NULL,   slot = NULL,   assay = NULL,   metanames = NULL,   reduction = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fetch data from the hdf5 file — FetchH5","text":"reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") srt <- FetchH5(DataFile = \"./SCExplorer/Data.hdf5\", MetaFile = \"./SCExplorer/Meta.hdf5\", features = c(\"Ins1\", \"Ghrl\"), metanames = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") CellDimPlot(srt, group.by = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") FeatureDimPlot(srt, features = c(\"Ins1\", \"Ghrl\"), reduction = \"UMAP\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GSEA Plot — GSEAPlot","title":"GSEA Plot — GSEAPlot","text":"GSEA Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GSEA Plot — GSEAPlot","text":"","code":"GSEAPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"line\", \"comparison\"),   palette = \"Spectral\",   palcolor = NULL,   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 6,   only_pos = FALSE,   compare_only_sig = FALSE,   subplots = 1:3,   rel_heights = c(1.5, 0.5, 1),   rel_width = 3,   linewidth = 1.5,   line_alpha = 1,   line_color = \"#6BB82D\",   n_coregene = 10,   sample_coregene = FALSE,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   base_size = 12,   character_width = 50,   lineheight = 0.7,   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GSEA Plot — GSEAPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GSEA Plot — GSEAPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 11:00:47.896688] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:05:48.485821] DEtest done #> Elapsed time:5.01 mins pancreas_sub <- RunGSEA(pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-11 11:05:48.490904] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:11:17.023004] GSEA done #> Elapsed time:5.48 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\")) %>%   panel_fix_single(width = 5) # Because the plot is made by combining, we want to adjust the overall height and width  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE)  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", pvalueCutoff = 0.05, padjustCutoff = NULL, only_pos = TRUE, compare_only_sig = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":null,"dir":"Reference","previous_headings":"","what":"Gene ID conversion function using biomart — GeneConvert","title":"Gene ID conversion function using biomart — GeneConvert","text":"function can convert different gene ID types within one species bewteen two species using biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"GeneConvert(   geneID,   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = NULL,   Ensembl_version = 103,   biomart = NULL,   mirror = NULL,   max_tries = 5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gene ID conversion function using biomart — GeneConvert","text":"geneID vector geneID character. geneID_from_IDtype ID type geneID. e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" geneID_to_IDtype ID type convert . e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" species_from Latin names animals input geneID. species_to Latin names animals output geneID. e.g. \"Homo_sapiens\",\"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. biomart BioMart database name want connect . (\"ensembl\", \"protists_mart\", \"fungi_mart\", \"plants_mart\") mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gene ID conversion function using biomart — GeneConvert","text":"list.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"res <- GeneConvert(   geneID = c(\"CDK1\", \"MKI67\", \"TOP2A\", \"AURKA\", \"CTCF\"),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = \"Mus_musculus\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 5 genes mapped with ensembl_symbol #> ============================== #> 5 genes mapped #> 0 genes unmapped #> ============================== str(res) #> List of 7 #>  $ geneID_res     :'data.frame':\t5 obs. of  4 variables: #>   ..$ from_IDtype: chr [1:5] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   ..$ from_geneID: chr [1:5] \"CTCF\" \"CDK1\" \"TOP2A\" \"AURKA\" ... #>   ..$ to_IDtype  : chr [1:5] \"entrez_id\" \"entrez_id\" \"entrez_id\" \"entrez_id\" ... #>   ..$ to_geneID  : int [1:5] 13018 12534 21973 20878 17345 #>  $ geneID_collapse:'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  :List of 5 #>   .. ..$ : int 20878 #>   .. ..$ : int 12534 #>   .. ..$ : int 13018 #>   .. ..$ : int 17345 #>   .. ..$ : int 21973 #>   .. ..- attr(*, \"class\")= chr \"AsIs\" #>  $ geneID_expand  :'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  : int [1:5] 20878 12534 13018 17345 21973 #>  $ Ensembl_version: chr \"103\" #>  $ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>  $ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>  $ geneID_unmapped: chr(0)   # Convert the human genes to mouse homologs and replace the raw counts in a Seurat object. data(\"pancreas_sub\") counts <- pancreas_sub@assays$RNA@counts res <- GeneConvert(   geneID = rownames(counts),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"symbol\",   species_from = \"Mus_musculus\",   species_to = \"Homo_sapiens\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 15065 genes mapped with ensembl_symbol #> 11 genes mapped with entrez_symbol #> 35 genes mapped with uniprot_symbol #> ============================== #> 15111 genes mapped #> 847 genes unmapped #> ============================== homologs_counts <- counts[res$geneID_expand[, \"from_geneID\"], ] rownames(homologs_counts) <- res$geneID_expand[, \"symbol\"] homologs_counts <- aggregate(homologs_counts, by = list(row.names(homologs_counts)), FUN = sum) rownames(homologs_counts) <- homologs_counts[, 1] homologs_counts <- as(as.matrix(homologs_counts[, -1]), \"dgCMatrix\") homologs_counts #> 13620 x 1000 sparse Matrix of class \"dgCMatrix\" #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                       #> A1CF             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> A3GALT2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAAS             2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AACS             .  1   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  . #> AADAC            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAGAB            .  .   .  .  .  .  .  2  .  2  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1 #> AAK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AAMDC            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  3  .  .  .  1  .  .  .  . #> AAMP             3  5   2  3  2  1  .  1  1  3  .  2  1  .  2  .  2  3  2  3  1  2  .  2  1  .  1  .  3  2  4  .  3  .  2  1  1  6  8 #> AAR2             .  .   1  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AARD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  4  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AARS1            .  .   2  1  2  .  1  .  1  .  1  2  .  1  .  5  .  .  1  .  .  1  2  .  .  .  .  .  .  .  1  1  .  .  .  2  .  .  1 #> AARS2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AARSD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDH            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDHPPT         .  .   1  3  .  .  .  .  .  1  1  .  .  .  1  1  1  .  .  1  .  1  1  1  1  .  1  .  .  1  1  1  1  .  .  .  1  .  . #> AASS             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AATF             .  2   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AATK             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABAT             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA1            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  . #> ABCA12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  . #> ABCA4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA7            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB10           .  .   .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2 #> ABCB11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ABCB4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB6            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  1  1  . #> ABCB7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ABCB8            .  .   .  .  1  .  .  1  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  1  3  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ABCB9            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1  .  .  .  .  .  .  1  .  .  .  .  1  . #> ABCC1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC3            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC5            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABCC8            .  .   .  4  .  .  1  3  .  .  1  .  .  2  .  .  .  .  .  .  .  4  2  3  .  .  .  3 11  4  .  .  .  1  5  5  2  .  1 #> ABCC9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD3            .  .   .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  .  1  .  3  .  .  .  1  1  .  .  .  1  .  .  1  .  1  1 #> ABCD4            .  .   .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCE1            .  1   1  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  .  .  2  .  1  .  .  1  .  .  .  . #> ABCF1            5  2   3  .  .  .  1  1  1  .  1  1  1  3  .  .  1  2  .  .  .  2  .  .  2  .  .  1  2  .  4  1  2  1  .  .  .  1  . #> ABCF2            .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF2-H2BE1      .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF3            .  1   .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  . #> ABCG1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ABCG5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCG8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ABHD10           .  .   .  1  .  .  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  1  .  1  .  .  .  1  1  .  1  .  .  .  .  .  .  .  . #> ABHD11           1  .   4  .  3  .  .  .  .  .  .  .  2  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  2  .  .  .  1  . #> ABHD12           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  3 #> ABHD13           .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  .  .  .  .  .  .  .  . #> ABHD14A          .  .   1  3  1  .  .  .  .  2  .  .  .  1  2  2  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  4  .  .  .  2  . #> ABHD14A-ACY1     .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD14B          .  .   .  .  1  .  .  1  1  .  .  .  .  2  .  1  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  1  .  .  1 #> ABHD15           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD16A          .  .   1  1  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  2  2  .  .  1  3  .  2  1  .  1  .  1  .  1  1  2  .  .  . #> ABHD17A          1  .   3  1  1  .  .  .  1  1  .  .  1  1  .  2  1  .  .  .  .  .  1  2  .  1  .  1  .  2  1  1  .  .  .  .  1  1  . #> ABHD17B          .  .   1  .  .  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  1  .  .  .  .  1  2  .  .  .  .  .  1  .  .  1 #> ABHD17C          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ABHD18           .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD2            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> ABHD3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABHD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD5            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABHD6            .  1   1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> ABHD8            .  .   .  1  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  .  .  .  .  .  .  1  .  .  1  .  .  2 #> ABI1             .  1   1  .  .  .  .  .  1  .  1  2  .  .  .  .  1  .  .  .  .  1  1  .  .  .  2  .  .  1  1  1  .  .  .  .  1  .  1 #> ABI2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  . #> ABI3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABL1             .  .   1  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  . #> ABL2             .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM1           1  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABLIM2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABR              .  .   2  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABRACL           3  .   2  2  1  2  .  1  .  .  2  2  1  .  1  6  1  .  .  .  1  1  .  .  .  1  1  .  1  .  1  1  2  1  1  2  1  1  1 #> ABT1             .  .   1  2  .  1  1  .  .  .  .  1  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  . #> ABTB1            .  .   .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  .  1  .  1  .  1  .  1  .  1  .  1  .  1  .  .  .  . #> ABTB2            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC000120.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC001226.2       2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> AC002094.3       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002310.4       1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002985.1       .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC002996.1       .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> AC003005.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004076.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004556.3       2  .   .  .  1  .  .  2  2  .  .  .  1  .  2  .  1  1  1  1  .  .  .  .  1  .  .  .  1  .  .  2  .  .  .  .  .  2  1 #> AC004593.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004687.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004691.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004832.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004922.1       4  2   3  2  1  1  .  7  2  1  5  3  1  2  4  2  3  .  1  1  1  1  3  6  .  2  2  1  6  1  .  4  3  1  .  2  1  2  3 #> AC004997.1       1  .   .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  . #> AC005041.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005154.5       .  .   2  .  2  .  .  .  2  .  .  .  1  .  .  2  1  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> AC005192.1       .  .   .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2 #> AC005324.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005520.1       1  .   1  1  1  1  .  .  1  1  1  .  .  .  .  .  .  3  .  1  1  .  2  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC005670.2       .  .   1  1  .  .  .  3  .  .  .  .  .  .  .  .  .  1  .  1  .  1  1  1  3  .  .  .  1  1  .  .  .  .  .  .  .  .  1 #> AC005697.1       1  .   .  .  1  .  .  .  .  .  .  .  .  1  2  2  1  .  1  1  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  .  .  1 #> AC005726.1       1  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC005943.1       1  1   5  5  4  4  1  6  1  .  2  .  1 12  2  3  7  2  3  4  1  5  1  7  1  2  2  3  6  3  3  2  3  2  5  4  .  1  6 #> AC006030.1       .  1   .  .  .  .  3  .  .  .  2  1  .  1  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC006059.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC006064.6       2  1   .  3  .  2  2  1  .  1  2  1  1  3  .  1  1  .  .  .  2  2  3  1  1  2  2  .  1  .  1  2  .  .  3  2  2  1  1 #> AC006254.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007040.2       1  .   2  1  1  1  .  .  2  .  1  1  1  1  1  1  1  1  1  .  .  2  1  .  1  .  2  .  .  .  2  .  .  .  .  1  .  .  . #> AC007192.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007326.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007687.1       7  .   8  2  6  .  .  4  4  3  2  7  3  5  8  3  7  2  1  2  8  7  3  1  4  2  3  2  5  6  3  2  1  2  3  6  3  4  7 #> AC008012.1       2  .   1  .  .  4  .  .  1  .  .  .  .  3  . 10  .  .  .  1  .  .  1  .  .  .  8  3  .  1  .  .  .  .  1  .  .  .  . #> AC008073.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008397.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008581.2       .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AC008695.1       .  1   .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1 #> AC008764.1       .  .   .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008770.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC009070.1       5  .   4  .  1  .  .  1  .  .  .  1  .  .  .  1  .  1  1  .  1  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1 #> AC009690.1       .  .   1  1  1  .  .  2  .  .  .  .  1  1  1  2  3  .  .  .  3  .  .  1  .  .  .  .  1  .  .  .  3  1  .  .  .  .  . #> AC009690.3       .  1   .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  . #> AC009779.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC010197.2       1  .   1  .  .  .  1  .  .  .  .  .  .  .  1  4  .  .  2  .  1  .  .  .  .  .  1  .  .  .  7  .  .  .  .  .  .  .  . #> AC010319.2       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1 #> AC010323.1       1  .   7  2  3  2  1  7  3  6  1  2  .  3  1  5  3  2  1  1  5  6  3  5  4  2  4  5  5  4  1  7  2  2  6  2  2  1  6 #> AC010422.3       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010422.5       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010463.1       .  1   2  2  1  2  2  2  1  .  1  .  .  1  .  1  2  .  1  .  .  1  1  .  .  .  1  1  .  1  .  .  2  1  .  .  .  .  3 #> AC010616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011005.1       2  2   8  3  1  2  2  4  4  3  1  1  .  4  6  2  3  1  1  2  1  3  1  2  2  1  2  1  7  3  3  6  4  .  .  2  1  3  1 #> AC011448.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC011455.2       .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  . #> AC011462.1       1  2   1  2  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  1  1  1  .  .  1  1  1  3  .  2  1  .  .  2 #> AC011473.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011479.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011499.1       .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  4 #> AC011511.4       2  .   .  .  .  2  1  1  .  .  1  1  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  2  1  .  .  .  .  1 #> AC012213.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC012488.2       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC013394.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  1  2  1  .  .  .  .  1  .  1  .  1  .  1 #> AC013477.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC013489.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AC013717.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC015802.6       .  1   .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  1  .  .  2  .  1  .  1  2  .  . #> AC016027.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC017083.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC018362.3       1  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> AC019117.1       .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020765.6       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020907.6       .  .   .  4  2  1  .  .  5  2  7  6  2  1  1  1  .  1  1  2  4  .  2  2  8  3  1  .  .  3  .  1  4  1  7  2  .  1  . #> AC021087.5       1  .   1  1  .  1  1  2  1  .  .  2  .  1  2  3  1  .  .  1  .  1  4  1  .  .  1  .  1  1  2  .  2  .  2  2  1  1  1 #> AC021660.3       .  1   .  .  2  .  1  1  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  2  1  .  4 #> AC022384.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  . #> AC022400.5       .  .   1  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022414.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022826.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC023055.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  1  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1 #> AC024592.3       6  2   6  6  7  .  2  8  2  2  1  1  1  3  1  3  5  1  6  7  1  5  3  1  1  5  3  2  6  5  1  2  2  .  4  2  3  4  8 #> AC025165.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC026464.1       .  .   .  1  .  1  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC026464.3       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC026464.4       2  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  1  . #> AC026464.6       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC027644.4       .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC027796.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC034102.2       6  1   3  1  1  .  1  1  1  .  2  .  .  1  .  4  1  .  1  1  .  .  2  .  .  1  4  2  .  2  .  .  .  .  .  1  .  .  . #> AC034228.3       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC036214.3       4  1   4  3  3  3  .  5  2  4  2  5  .  5  .  2  2  .  2  1  .  1  3  .  .  .  2  1  4  8  1  3  2  6  2  4  1  2  4 #> AC037459.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC048338.1       .  .   .  .  1  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC055811.2       .  .   .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  . #> AC055839.2       .  .   .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC064824.1       .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068234.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068533.4       1  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  1  .  1  1  .  .  .  .  .  .  .  2  .  1  .  .  .  .  1  1  1  1  1 #> AC068547.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068580.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068631.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068831.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068946.2       .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC069257.3       .  .   1  1  3  1  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  2  .  .  .  1  1  1  1  .  .  .  1  . #> AC069503.2       .  2   1  .  .  .  1  .  .  2  1  1  1  1  1  .  1  .  .  .  .  1  .  .  .  .  3  1  .  1  1  .  .  1  1  .  1  3  1 #> AC073508.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073612.1       .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073896.1      10  .   9  1  3  4  3  7  3  3  1  3  2  3  1  6  4  2  2  2  4  3  4  3  4  3  2  1  5 13  6  8  4  1  6  6  5  5 12 #> AC074143.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC078815.1       .  .   .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC078927.1       1  .   .  2  1  2  .  2  .  .  1  .  .  1  1  1  2  .  1  .  .  1  1  2  3  .  2  1  2  4  1  3  .  2  1  2  .  1  1 #> AC079447.1       2  .   1  2  4  1  1  3  2  1  .  .  2  1  1  1  1  .  .  1  2  .  1  2  2  3  2  .  1  3  1  2  1  2  3  1  .  2  3 #> AC079594.1       .  .   1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC083977.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC087721.2       2  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC090004.1       1  .   1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  . #> AC090227.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC090517.4       .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC091057.5       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.7       .  .   .  .  .  1  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC091959.1       1  .   .  1  .  .  .  1  .  1  .  .  1  .  1  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> AC092017.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC092042.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC092073.1       .  .   1  .  .  .  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  1  1  .  2  .  .  .  .  .  .  .  .  1 #> AC092143.1       .  1   .  1  .  .  4  3  .  2  .  4  2  .  .  .  1  3  .  1  1  6  .  .  8  4  .  .  7  .  .  4  3  .  .  .  .  .  3 #> AC092647.5       3  1   5  .  1  .  .  2  1  2  1  1  .  1  .  5  2  1  1  .  1  .  2  1  2  1  1  1  2  .  3  3  .  3  1  1  .  .  1 #> AC092718.2       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092718.7       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092835.1       .  .   .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AC093155.3       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  . #> AC093323.1       5  6  12 11  7  2  3  6  6  6  9 11  3  8  2  5 10  5  6 10  6  7 12 11  9  7  3  7 15  1  2  9  7 11  6  4 13  9 10 #> AC093525.1       1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC093525.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093827.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093884.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AC096887.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC097634.4       .  1   1  .  1  .  .  .  .  .  .  .  .  2  1  .  .  2  .  .  .  .  1  .  1  .  .  1  .  3  1  .  .  1  1  1  .  .  1 #> AC104389.5       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC104452.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC104472.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC105052.1       1  1   .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  3  .  .  .  1  1  .  .  1  .  .  .  1  .  1  .  .  .  .  .  .  . #> AC105052.3       3  1   3  .  1  .  .  3  3  2  2  1  .  1  .  3  3  2  2  1  1  1  3  1  .  1  1  .  3  1  3  2  .  4  .  3  2  .  . #> AC106741.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106873.8       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106886.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC108488.2       1  1   .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC109583.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC112128.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC116366.1       3  .   2  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117378.1       2  .   1  .  1  .  .  .  .  .  .  .  .  1  1  2  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117457.1       .  .   .  2  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AC119674.2       .  .   .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC126283.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  . #> AC129492.3       .  1   .  .  .  1  .  .  2  2  1  1  .  .  .  1  .  .  .  3  .  1  2  3  1  1  2  .  2  .  .  1  2  1  2  .  .  .  2 #> AC131160.1       3  .   2  .  .  .  .  1  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  .  .  1  1  1  .  .  2  2  1  1  .  .  .  1  . #> AC136352.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC136475.9       7  2  14  . 14  7  4  2  3  1  1  1  3  3 17 14  2  6  6  2  4  1  5  1  1 13 12  1  1  4 10 12  .  1  .  2  6  7 16 #> AC136616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC137834.1       1  .   .  .  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  1  1  .  1  1  .  .  .  .  .  .  . #> AC138647.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC138696.1       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC139530.2       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC140504.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC142391.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC243967.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC244197.3       .  .   .  .  .  .  .  2  .  .  1  .  1  1  .  1  1  .  .  1  .  1  .  .  .  4  .  .  .  1  .  .  1  .  .  .  .  .  1 #> AC245033.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC245748.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC253536.7       1  .   1  1  .  .  .  2  .  .  .  .  .  .  .  3  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1 #> ACAA1            1  1   4  .  1  1  .  3  .  2  1  1  .  2  2  1  1  3  1  1  1  2  1  1  .  1  1  .  .  2  .  1  1  1  1  1  2  1  1 #> ACAA2            2  .   3  .  .  4  .  1  .  .  .  .  .  .  1  2  1  .  1  .  .  .  .  .  .  1  1  1  .  .  .  1  .  2  .  .  2  2  . #> ACACA            .  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACACB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD10           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD8            .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  1  . #> ACAD9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACADL            .  .   2  .  2  .  .  .  1  .  .  .  .  .  2  1  1  2  .  1  .  .  .  .  .  .  3  1  .  1  2  .  1  .  .  1  1  2  . #> ACADM            1  .   1  1  2  1  .  .  .  .  .  .  .  1  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  1 #> ACADS            .  2   .  2  .  1  .  .  .  .  1  .  2  .  1  .  .  .  .  .  1  .  .  1  .  1  .  1  .  1  3  1  .  .  .  1  .  .  . #> ACADSB           .  .   .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  2  .  1  .  .  .  1  .  .  .  .  .  1  1 #> ACADVL           2  .   1  3  .  .  1  1  .  1  .  2  .  1  2  2  .  .  1  2  .  .  1  .  2  1  .  .  .  .  .  .  1  1  1  2  2  1  1 #> ACAN             .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAT1            3  .   1  1  .  1  .  2  1  2  .  .  .  3  .  2  1  .  .  2  .  .  .  .  1  .  .  2  1  1  .  1  .  .  .  2  .  1  . #> ACAT2            .  .   2  .  1  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  . #> ACBD3            1  .   .  .  1  1  1  .  1  .  .  .  .  2  .  .  1  .  .  .  .  2  1  1  .  .  .  .  .  2  .  .  .  1  .  .  .  .  . #> ACBD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACBD5            .  1   1  .  .  .  1  .  2  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  . #> ACBD6            2  .   1  2  .  .  .  1  1  .  1  .  1  .  1  .  .  1  1  1  .  .  1  .  2  1  1  .  .  .  .  3  .  1  1  1  1  .  1 #> ACBD7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACCS             .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACD              2  1   .  1  .  .  1  2  1  1  .  .  .  .  1  2  .  .  .  1  1  1  .  .  1  1  .  .  .  2  1  .  .  .  .  1  .  .  . #> ACE2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACER2            .  .   3  .  3  .  1  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2 #> ACER3            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  . #> ACIN1            3  2   3  .  .  1  .  1  .  .  1  3  2  .  1  1  3  2  1  .  2  .  1  1  2  .  1  2  1  1  1  .  3  1  1  1  2  .  1 #> ACKR3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACLY             .  .   .  2  1  2  2  4  4  .  .  1  4  .  1  1  .  1  1  .  .  3  2  6  .  2  .  3  8  2  2  3  1  1  1  .  2  .  4 #> ACO1             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ACO2             2  2   1  1  2  3  1  5  3  3  .  .  1  .  1  1  2  1  1  2  2  1  1  .  .  2  2  1  6  1  3  1  2  1  1  1  1  .  3 #> ACOT1            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  . #> ACOT12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT13           2  .   .  1  1  1  .  1  .  .  1  .  .  1  .  2  1  .  .  .  .  .  1  1  1  .  .  1  2  .  1  .  2  3  3  2  .  1  . #> ACOT2            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT7            1  .   1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ACOT8            1  1   .  .  .  .  1  .  .  .  .  1  .  .  2  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  . #> ACOT9            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX1            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  . #> ACOX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOXL            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP2             .  1   1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  3  .  .  1  .  1  1  .  .  . #> ACP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP5             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ACP6             1  .   .  .  .  .  .  .  .  2  .  .  .  1  1  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  1  . #> ACRBP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSBG1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSF2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ACSF3            .  .   2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  2  .  1  1 #> ACSL1            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ACSL3            .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ACSL4            .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ACSL5            3  1   3  .  1  1  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> ACSL6            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSM3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSS3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTB            16 11 154  4 10 17  6 12 19  7  5 15 20 19 27 37 14 10 15  7 24  4  6  4 18 11 32 15 14  3 24 21 13  9  3 11 13  8 16 #> ACTC1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTG1           11 22  23  1 12 20 20  6  8 19 25 13 22  5 26 36 18 16  4  4 19  8 22  3 24 20  7 10  9  1 10 34 26 14  7 12  9 17 14 #> ACTL10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTL6A           1  .   .  .  1  .  1  3  .  .  .  .  .  .  .  2  .  .  1  2  .  .  .  .  .  .  1  .  1  .  .  .  2  .  .  1  2  .  . #> ACTL6B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTN1            2  .   1  .  .  1  .  1  .  1  1  .  .  .  1  3  .  .  .  .  .  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  1  .  . #> ACTN3            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  . #> ACTN4            5  .   1  2  .  1  .  1  .  .  .  2  .  .  2  3  1  .  .  .  .  .  1  2  .  2  2  1  .  .  1  2  1  1  .  .  1  3  1 #> ACTR10           .  1   3  .  .  1  .  2  1  .  1  3  .  .  1  .  1  .  1  2  .  .  1  2  1  .  .  2  2  2  .  .  .  .  .  .  2  1  1 #> ACTR1A           .  1   1  1  .  .  3  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  2  .  1  1  1  2 #> ACTR1B           1  .   2  2  1  .  1  2  1  2  .  .  2  1  .  .  1  .  .  .  1  1  .  1  1  .  .  .  1  1  .  1  .  .  .  3  1  .  . #> ACTR2            1  .   1  .  .  .  1  1  .  1  .  .  2  3  .  2  .  .  .  .  .  2  1  1  .  1  .  .  1  .  .  2  .  .  .  2  .  .  . #> ACTR3            .  4   1  2  2  .  1  .  1  1  1  1  .  2  .  4  1  1  1  2  2  .  4  1  .  .  .  2  1  3  .  5  3  3  2  1  1  4  . #> ACTR3B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR3C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR5            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR8            .  .   .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  2  1  .  . #> ACTRT3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACVR1B           .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ACVR1C           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ACVR2A           .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACVR2B           .  .   1  .  .  1  1  .  .  .  .  .  .  .  .  1  .  3  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  1  .  2  .  1 #> ACVRL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY3             .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACYP1            2  .   1  .  1  .  .  2  .  .  .  1  1  .  2  3  .  .  .  .  1  1  .  1  .  .  1  2  1  .  .  1  .  .  .  .  .  2  1 #> ACYP2            .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1 #> AD000671.1       4  .   4  2  1  .  1  3  2  1  2  .  1  1  3  1  2  1  1  .  1  3  2  1  1  1  2  1  3  7  1  2  3  .  .  4  .  .  . #> ADA              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAL             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM10           .  .   .  .  2  .  .  .  1  .  .  1  .  1  .  .  .  1  1  .  .  1  1  1  1  .  .  1  .  .  1  1  1  .  1  .  .  .  . #> ADAM11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ADAM12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM15           1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM17           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAM21           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM22           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM23           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> ADAM30           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM32           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM9            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS1          5  .   4  .  1  1  .  .  .  .  .  .  .  .  4  4  .  .  1  .  .  .  .  .  .  .  5  1  .  .  6  .  .  .  .  .  .  1  . #> ADAMTS10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS13         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS15         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS16         1  .   2  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  . #> ADAMTS17         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS18         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS19         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS5          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAMTS6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS9          2  .   .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL1         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL2         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL4         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL5         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAR             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ADARB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> ADCK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK5            .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  1 #> ADCY1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ADCY6            1  .   .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> ADCY8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY9            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCYAP1R1        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD1             .  .   1  1  2  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2 #> ADD2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD3             .  .   2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGB             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> ADGRB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRB3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRE5           .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRF5           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG1           1  .   1  1  .  .  4  1  1  .  2  1  .  1  2  1  .  .  1  3  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1  1  1 #> ADGRG2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG6           .  .   3  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL1           .  .   .  1  .  .  .  1  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ADGRL2           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRV1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1A            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1C            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH5             1  1   2  .  2  1  .  1  .  .  .  1  2  .  .  1  1  2  1  .  2  1  1  .  2  .  3  1  1  .  2  2  1  .  .  1  2  1  1 #> ADH7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADI1             .  .   .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ADIPOR1          2  1   2  .  3  .  .  1  .  1  .  .  1  2  1  1  1  .  2  .  2  2  .  1  5  .  .  1  2  1  1  1  .  1  .  1  1  1  3 #> ADIPOR2          1  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  . #> ADK              1  .   2  .  2  .  .  .  .  .  .  .  .  .  2  4  1  .  2  .  .  .  1  1  .  .  .  .  1  .  2  1  1  .  .  .  .  1  . #> ADM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADM2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADNP2            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADO              .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  1  1  .  .  .  .  .  .  1  . #> ADORA1           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ADORA2A          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ADORA2B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADPGK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> ADPRH            .  1   .  .  .  .  1  2  1  .  1  1  .  1  2  3  1  .  .  2  .  2  2  .  .  .  2  1  .  .  .  1  .  1  1  .  2  1  . #> ADPRM            .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  . #> ADRA2A           .  .   .  .  .  .  .  3  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  2  .  .  .  .  2  .  .  .  .  4 #> ADRA2C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADRB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ADRB2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  . #> ADRM1            3  1   3  .  3  1  3  4  .  2  3  .  .  1  1  1  1  1  1  .  .  2  1  1  1  2  1  1  2  1  3  2  2  .  .  3  2  2  5 #> ADSL             1  1   1  1  1  1  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  2  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> ADSS1            2  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADSS2            .  1   .  1  .  1  1  .  .  .  1  1  .  .  1  3  2  .  1  .  .  .  .  .  .  1  1  .  1  .  1  .  1  .  .  .  .  1  . #> AEBP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEBP2            .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AF196969.1       1  1   1  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  2  1  .  .  .  .  .  1  2  1  1  .  .  1  1  .  . #> AF241726.1       1  2   1  6  1  .  1  7  5  3  4  .  1  1  .  .  4  .  .  .  1  4  1  5  .  .  1  7  9  4  .  .  3  1  .  4  1  .  3 #> AFAP1            .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AFAP1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> AFAP1L2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF4             .  .   1  .  1  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  .  1  2  .  1  .  .  .  1  .  .  1  1 #> AFG3L2           .  .   1  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AFM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFP              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFTPH            .  .   .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  .  . #> AGA              .  .   .  .  .  1  1  .  1  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  1  .  .  . #> AGAP1            1  .   .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  . #> AGAP3            .  .   .  .  .  .  .  1  1  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  1  .  2 #> AGBL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1 #> AGER             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGFG1            .  .   .  2  .  .  .  1  1  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  2  1  .  .  .  1  .  1  .  2  .  3 #> AGFG2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGGF1            .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AGK              1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGL              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGMAT            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGMO             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO1             .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO2             .  .   .  .  .  .  1  .  .  .  1  .  2  3  1  1  .  1  .  1  1  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  1  .  3 #> AGO3             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AGPAT1           1  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  .  .  .  . #> AGPAT2           1  .   .  .  3  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  1  .  .  .  .  . #> AGPAT3           1  1   .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> AGPAT4           .  .   .  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> AGPAT5           .  .   1  .  .  .  1  2  .  .  .  .  1  .  .  .  1  1  .  1  .  .  .  2  .  .  .  .  1  .  .  .  1  .  .  .  .  1  1 #> AGPS             .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGR2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGRN             1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AGRP             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGT              .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1 #> AGTPBP1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGTR1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGTRAP           .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  3  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> AGXT             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCTF1           .  .   .  .  .  .  .  .  1  .  .  .  2  .  .  2  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  . #> AHCY             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCYL1           1  .   2  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  1  1  .  1  .  1  .  2  1  .  .  .  .  1  .  .  1  2 #> AHCYL2           .  .   .  1  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AHDC1            1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AHI1             .  .   .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  1  .  .  .  .  .  .  2  .  .  . #> AHNAK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHNAK2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHR              .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHSA1            4  .   2  4  1  1  .  .  4  .  .  2  1  2  2  5  .  2  1  2  1  .  3  .  2  1  1  .  .  3  1  .  6  .  2  3  1  .  . #> AHSG             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIDA             .  .   .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AIF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIF1L            2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIFM1            1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  1  1  .  .  1  .  . #> AIFM2            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  . #> AIFM3            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AIG1             .  .   1  2  1  .  .  1  .  .  .  .  1  .  2  .  .  .  .  .  .  .  1  .  .  .  1  .  1  2  5  .  .  .  .  1  .  1  . #> AIMP1            1  1   3  .  4  .  2  1  2  2  1  .  1  1  1  1  2  1  .  1  1  .  1  1  1  .  1  3  3  .  2  1  1  .  .  1  .  1  4 #> AIMP2            .  .   4  .  .  .  .  1  .  .  .  .  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  3  . #> AIP              1  .   2  2  1  .  .  .  1  .  1  .  1  1  1  .  2  .  1  .  2  .  .  1  1  .  2  1  2  3  1  .  .  .  .  1  1  1  . #> AIPL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIRE             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJUBA            .  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> AK1              .  .   .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  .  1  .  .  3 #> AK2              3  .   5  .  1  .  1  1  1  1  .  1  .  .  1  3  .  1  2  .  .  1  1  1  .  .  2  1  1  .  2  .  1  .  .  2  .  1  . #> AK3              .  .   1  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  2  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  .  1 #> AK4              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK5              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AK7              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK8              .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AKAP10           .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP11           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  1  1  .  2  .  .  1  .  2  .  .  .  1  .  .  .  .  .  1 #> AKAP12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP13           .  .   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP7            .  .   2  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AKAP8            .  1   1  1  .  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  1  2 #> AKAP8L           1  .   1  .  .  1  .  2  .  1  .  .  .  1  .  .  .  1  .  .  .  1  1  .  .  .  .  3  .  2  .  1  2  2  .  .  1  .  . #> AKAP9            1  1   .  .  .  .  3  .  1  1  .  .  2  3  1  2  .  1  1  4  .  3  .  .  1  2  3  1  1  1  1  1  .  1  .  4  2  .  1 #> AKIP1            1  .   .  .  1  1  .  .  .  .  .  .  .  1  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKIRIN1          .  1   1  1  1  .  .  2  3  2  1  .  1  1  .  1  3  .  .  1  .  1  .  .  .  1  1  1  3  .  .  .  1  .  .  .  .  .  . #> AKIRIN2          .  1   3  .  1  3  3  3  2  3  3  .  2  1  1  1  .  2  3  .  .  .  2  1  1  1  .  2  1  1  2  .  1  1  .  3  1  1  2 #> AKNA             .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKR1A1           8  5   7  4  9  7  3  9  7  2  3  5  8  4  3  8  3  1  6  5  4  4  6  2  3  5  5  1  4  5  6  7  4  4  3  5  5  5  6 #> AKR1B1           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AKR1B10          1  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  . #> AKR1E2           .  1   1  .  .  .  .  .  .  .  .  .  1  1  .  3  .  .  .  .  .  .  1  .  .  .  .  .  1  3  1  .  1  1  .  1  .  .  1 #> AKR7L            1  1   1  .  1  1  1  3  1  3  1  1  .  2  4  2  .  2  .  1  .  .  1  .  1  .  1  2  1  1  1  2  .  1  2  .  .  2  1 #> AKT1             .  .   1  2  1  .  .  .  2  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  1  .  .  2  1  1  1  2  1  .  .  1  .  1 #> AKT1S1           3  1   3  .  1  1  1  3  1  1  1  1  3  .  .  .  .  1  .  1  1  3  .  2  3  1  1  .  3  .  1  .  2  2  1  2  2  .  . #> AKT2             .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKT3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKTIP            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AL033529.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL035461.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049629.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049634.2       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL049697.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049779.1       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AL049844.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> AL096711.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL110118.1       .  .   1  .  .  .  1  1  .  1  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  .  . #> AL117348.2       .  1   2  2  2  1  .  5  1  2  1  .  2  2  1  .  2  2  .  2  2  4  3  3  .  2  .  1  3  3  1  1  3  2  4  7  1  .  2 #> AL132671.2       .  .   .  2  .  .  .  .  .  .  .  1  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AL132780.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL133352.1       6  .  12  9  2  1  1  8  3  2  4  3  1  2  3  7  8  1  3  2  2  3  1  3  3  .  2  2  8  4  3  2  1  2  4  7  2  5  4 #> AL133500.1       .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.3       .  1   2  .  1  .  1  .  .  1  .  .  .  .  .  1  .  .  1  2  .  1  .  2  .  .  .  .  .  1  .  .  .  1  .  1  .  1  . #> AL136295.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.5       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL138752.2       .  .   1  1  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL139142.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL139260.3       .  1   .  3  .  .  .  2  1  .  2  .  1  2  2  1  1  1  1  .  1  2  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  . #> AL157392.5       .  .   .  .  .  .  1  .  .  .  .  .  .  2  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL157935.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL159163.1       2  .   .  .  3  2  1  1  2  .  .  2  1  1  2  1  .  .  .  .  .  4  2  1  .  1  .  3  3  2  1  4  .  .  3  1  .  .  . #> AL160269.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL162231.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  1  1  3  1  .  .  .  .  1  1 #> AL162417.1       .  .   .  1  .  .  .  2  .  .  1  .  1  1  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  2  1  1  .  .  .  . #> AL162596.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL353671.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355312.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355315.1       .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> AL355916.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL357075.4       .  .   .  .  .  1  1  1  .  .  .  .  2  .  .  .  4  .  .  .  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  .  1  . #> AL357673.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358113.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358472.6       .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  . #> AL358472.7       2  .   1  1  1  3  .  4  3  1  .  1  1  1  .  4  .  .  .  1  .  .  3  2  1  .  1  1  1  2  1  .  .  .  .  2  .  2  1 #> AL359736.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AL360181.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AL365205.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL391628.1       .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> AL445524.2       .  .   .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  1  .  .  .  1  .  .  .  . #> AL445685.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL451062.2       .  .   .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  . #> AL451136.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512506.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512785.2       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL590132.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL592183.1       .  .   .  .  1  1  2  .  1  1  1  1  1  1  2  2  2  .  1  2  .  .  .  1  .  .  .  .  .  1  1  1  .  .  1  .  .  .  . #> AL603832.3       2  .   .  .  .  2  .  .  1  1  4  .  .  .  2  1  .  .  .  .  1  .  .  1  2  .  1  .  2  .  1  .  2  .  1  2  .  .  . #> AL645941.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL662899.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> AL662899.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL669918.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1 #> AL807752.7       1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL845331.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL928654.3       1  .   1  .  .  1  .  .  .  .  .  .  .  6  .  5  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  1  . #> ALAD             2  .   2  1  .  2  .  1  .  .  1  .  .  .  1  2  .  .  2  .  .  .  .  1  .  .  .  2  1  1  .  .  .  1  .  1  .  .  . #> ALAS1            .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1 #> ALB              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALCAM            .  1   .  1  1  .  .  .  .  .  .  1  1  1  .  .  1  .  .  1  1  .  3  1  .  .  .  1  1  5  1  .  1  .  .  .  .  .  . #> ALDH16A1         1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH18A1         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  3  .  1  .  .  .  1  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  . #> ALDH1A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1B1          3  .   7  .  .  1  .  .  .  1  .  1  2  1  .  .  .  .  .  1  1  1  .  1  .  .  .  .  .  .  .  5  .  .  .  .  2  3  . #> ALDH1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH2            .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> ALDH3B1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALDH3B2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH4A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH5A1          .  .   .  .  .  1  2  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  1  .  .  .  . #> ALDH6A1          .  1   .  .  .  1  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> ALDH7A1          2  .   1  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  1  1  1  .  .  .  1  1 #> ALDH9A1          .  .   .  .  .  2  .  .  1  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  3  .  .  .  .  .  .  .  1 #> ALDOA           10  .   5  2 10  7  2 13  9  1  3  2  4  4  2  7  3  .  2  2  1  2  2  4  3  .  6  2  6  9  4  .  1  3  1  6  .  3  8 #> ALDOB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDOC            5  .   6  1  .  7  .  .  .  .  1  .  .  .  5  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALG1             .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10B           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG11            .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALG12            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALG13            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG14            .  .   2  .  1  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  . #> ALG1L            .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG1L2           .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG3             1  .   1  .  .  .  .  .  .  1  .  .  .  .  1  2  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> ALG5             1  .   2  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  3  .  .  .  .  .  .  .  1  . #> ALG6             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG8             .  .   1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ALG9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  1  .  1 #> ALKBH2           .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH3           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALKBH4           .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  . #> ALKBH5           1  .   3  2  2  .  .  .  1  .  .  .  .  1  .  1  1  1  1  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> ALKBH6           .  2   1  1  1  .  .  4  .  .  .  1  .  1  .  .  .  1  1  1  2  1  2  .  .  .  .  1  .  1  .  .  .  .  1  .  1  1  1 #> ALKBH7           1  1   1  .  .  1  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  1  1  1  1  .  1  .  .  1 #> ALKBH8           .  1   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  .  .  .  .  .  . #> ALLC             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALMS1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX12           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX15B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5AP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOXE3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALPK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPK3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPL             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2CL           .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALX3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALYREF           4  .   4  .  .  1  .  1  .  .  .  1  1  .  .  3  2  2  1  .  1  1  1  .  .  2  3  1  1  2  .  .  1  .  .  .  .  2  4 #> AMACR            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> AMBP             6  1   3  1  2  4  .  9  1  2  .  4  4  1  8  2  .  .  5  1  .  .  .  .  .  1 14  .  .  2  1  .  1  .  1 17  7  3  8 #> AMBRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMD1             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  1  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AMDHD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMDHD2           1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMER1            1  1   .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  1  1  1 #> AMER2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> AMER3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMFR             1  .   .  .  2  .  .  1  .  1  1  .  .  1  .  .  .  .  .  2  .  2  2  .  2  1  1  .  .  .  1  .  .  1  .  .  2  1  1 #> AMH              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMHR2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMIGO1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  . #> AMIGO2           .  .   .  1  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  1  .  .  .  1  2  .  .  .  .  . #> AMIGO3           .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMMECR1          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  . #> AMMECR1L         .  .   .  .  1  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  1  .  1  .  .  .  . #> AMN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMN1             .  .   .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMOT             .  .   2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMOTL1           .  .   1  .  .  .  .  1  .  .  .  .  .  .  4  2  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  3 #> AMOTL2           1  .   2  .  .  2  1  .  .  .  .  1  .  1  1  .  1  1  .  .  .  .  .  .  .  3  1  .  .  .  1  2  .  .  .  .  2  3  3 #> AMPD2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AMPH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMT              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AMZ1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMZ2             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  . #> ANAPC1           .  .   .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANAPC10          1  .   1  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  1  .  .  1  1  1  .  1  .  1  .  1  1  1  .  2  .  .  2  . #> ANAPC13          2  .   1  .  3  3  .  2  3  .  1  1  .  1  1  4  2  .  1  2  .  4  1  5  .  .  2  1  1  2  2  .  .  .  .  .  .  1  2 #> ANAPC15          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ANAPC16          2  .   3  1  .  2  .  1  .  .  1  2  1  .  1  1  .  1  .  .  1  5  .  .  3  4  .  1  4  3  1  1  .  4  .  3  3  1  1 #> ANAPC2           .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  1  .  .  1  .  .  .  .  1  .  .  .  1  1  .  .  1  .  . #> ANAPC4           .  .   .  1  .  .  .  2  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  2  1  .  .  1  1  .  .  .  1  .  .  .  1  .  . #> ANAPC5           4  .   4  2  5  1  1  4  .  .  1  .  1  .  2  2  1  1  4  1  1  3  3  2  .  2  1  1  .  4  1  .  3  2  .  3  4  4  6 #> ANAPC7           .  .   .  .  .  1  .  .  .  2  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANGEL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGEL2           1  1   .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  .  .  1  . #> ANGPT1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPT2           .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANGPTL6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> ANK3             .  .   1  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ANKEF1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKFY1           1  .   .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ANKH             .  .   .  2  .  .  2  .  2  1  .  .  1  .  .  .  3  .  .  .  1  3  .  2  .  .  .  1  1  .  .  .  .  1  2  2  .  .  1 #> ANKHD1           1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKHD1-EIF4EBP3  1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKIB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKLE1           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANKLE2           .  .   1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  2  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ANKMY2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1 #> ANKRA2           .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD10          .  1   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ANKRD11          1  .   .  .  .  .  .  .  .  .  1  .  5  1  .  .  1  .  1  1  1  1  1  1  1  1  .  .  .  .  2  .  .  1  .  .  .  1  1 #> ANKRD12          .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  2  .  .  .  .  . #> ANKRD13A         .  .   .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  . #> ANKRD13B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD13C         .  .   .  .  2  1  .  .  1  .  .  .  .  1  .  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  . #> ANKRD13D         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD16          .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  . #> ANKRD17          1  .   .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  1  .  .  1  1  .  .  .  .  1  .  .  1  .  . #> ANKRD2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  . #> ANKRD24          .  .   .  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ANKRD27          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANKRD28          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD29          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ANKRD31          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD33B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34C         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD35          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD37          .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  .  . #> ANKRD39          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD40          2  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  . #> ANKRD44          .  .   .  .  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  2  .  .  .  1  .  . #> ANKRD45          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD46          1  1   .  1  .  .  1  .  .  .  .  .  .  2  2  .  .  .  .  2  .  1  .  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  1 #> ANKRD49          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD50          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD54          .  2   .  1  .  .  1  2  1  .  1  .  .  1  .  .  1  .  .  3  1  1  .  2  .  .  .  .  .  .  1  1  1  .  .  2  1  1  2 #> ANKRD55          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD6           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD9           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS1A           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ANKS1B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS3            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  1  2  .  .  .  1  .  . #> ANKS4B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  . #> ANKS6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKZF1           .  1   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1 #> ANLN             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> ANO1             .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO10            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO2             .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO6             2  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO8             .  .   .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  . #> ANP32A           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32B           9  1  14  2  5  1  1  2  1  .  2  1  2  3  1  7  2  3  2  1  .  1  6  .  1  2  2  1  3  2  2  1  1  1  3  2  3  2  5 #> ANP32D           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32E           1  .   7  1  6  .  3  .  .  .  .  1  .  4  .  1  1  1  3  1  .  2  1  .  .  .  .  .  1  .  .  .  1  .  .  2  2  1  5 #> ANPEP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  4  .  .  .  .  .  .  .  .  .  3  1  .  .  .  2  .  .  1  1 #> ANTXR1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANTXR2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> ANXA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA13           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA2            8  .   3  .  4  7  .  .  .  .  .  .  .  .  4  8  .  .  1  .  .  .  .  .  1  .  1  .  .  .  3  .  .  .  .  .  .  8  . #> ANXA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA4            2  .   4  .  .  1  2  3  8  5  1  .  3  2  1  .  7  .  4  1  1  2  3  1  .  .  .  .  1  1  1  1  2  2  2  7  .  1  2 #> ANXA5            .  .   .  2  2  3  .  5  .  1  2  .  .  4  3  9  1  .  1  1  2  .  2  3  1  .  3  1  .  1  1  1  .  .  1  6  .  1  1 #> ANXA6            2  .   1  .  1  4  .  4  .  1  .  .  .  .  3  1  2  .  .  1  .  .  5  1  4  1  .  1  .  1  1  .  2  1  1  .  1  1  2 #> ANXA7            .  .   3  .  3  .  .  .  .  .  .  .  .  1  3  3  .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  1  .  .  .  2 #> ANXA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA8L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA9            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP000295.1       .  .   1  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  2  2  .  .  .  .  1  .  . #> AP000311.1      15  2  15  3  8  3  4  6  3  4  1  3  3  4  3  6  6  2  5  4  5  5  4  3  3  2  3  5  3  4  5  2  2  3  3  6  .  5  6 #> AP000356.5       6  2   4  2  3  .  1  3  1  .  .  .  .  3  2  4  1  3  .  .  2  3  1  3  2  .  2  2  3  3  .  1  2  .  .  2  .  4  3 #> AP000944.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AP001267.5       .  .   .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  2  .  .  .  .  2  1  .  1  1  .  . #> AP001273.2       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP001453.3       1  .   2  4  4  2  .  6  .  .  .  .  .  1  1  2  4  .  1  .  .  4  2  6  .  .  .  1  2  4  1  1  2  .  1  7  .  4  5 #> AP001781.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP001931.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002373.1       .  .   1  1  1  1  .  1  .  1  1  .  .  2  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  1  .  2 #> AP002495.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002748.5       .  .   .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AP002884.2       3  .   1  2  4  1  .  2  .  2  .  .  2  4  1  1  1  3  1  2  .  .  3  3  .  1  3  1  1  2  1  3  .  .  4  2  .  .  2 #> AP002990.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> AP003419.1       .  .   1  .  1  .  .  .  1  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  3  2  1  1  2  .  1  .  .  1  1 #> AP1AR            .  .   .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  1  1  .  .  1 #> AP1B1            .  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  . #> AP1G1            .  1   .  1  1  .  .  1  1  1  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  1  .  1  .  .  . #> AP1G2            .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1M1            .  .   1  1  .  .  .  2  .  .  1  .  .  .  1  1  1  .  .  3  1  .  1  .  1  .  .  .  1  .  .  .  .  2  1  2  .  .  . #> AP1M2            .  1   .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  1  .  1  1  1  1  .  1  2  .  2  1  .  2  1  .  .  1  .  .  . #> AP1S1            .  1   3  .  .  1  .  2  .  1  .  1  .  1  1  2  1  2  .  1  .  1  1  5  2  1  1  1  4  2  .  1  5  2  1  1  .  .  2 #> AP1S2            .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1S3            .  .   .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1 #> AP2A1            .  .   1  .  .  .  .  1  .  .  .  1  .  .  1  .  1  .  .  2  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP2A2            .  .   1  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AP2B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP2M1            1  4   1  4  2  2  1  4  3  2  4  1  .  3  1  4  4  3  1  .  3  5  2  4  5  1  1  1  4  6  2  .  4  3  2  6  3  .  5 #> AP2S1            1  2   7  .  7  2  1  7  3  1  .  1  2  4  3  3  5  .  3  7  .  2  1  3  .  3  2  1  2  1  2  2  3  2  3  2  3  2  2 #> AP3B1            .  .   1  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AP3B2            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1 #> AP3D1            .  1   1  2  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  1  2  .  2  1  3  1  .  1  1  .  .  .  .  . #> AP3M1            .  .   1  1  .  2  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP3M2            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP3S1            2  1   .  3  .  .  1  .  .  1  .  2  .  3  1  1  1  1  1  .  1  2  .  2  1  3  .  .  2  1  .  .  5  2  .  .  2  2  1 #> AP3S2            .  .   1  .  2  .  .  1  1  .  1  .  .  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  . #> AP4E1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4M1            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4S1            .  .   1  .  1  .  .  1  .  .  1  .  .  .  .  1  .  .  .  2  .  .  .  2  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP5B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5M1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5S1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5Z1            .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> APAF1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APBA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> APBA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> APBB1            1  .   .  .  .  .  .  2  .  3  1  .  .  2  .  .  .  1  .  1  .  .  .  .  1  .  .  2  .  .  .  .  .  .  3  .  .  .  2 #> APBB1IP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBB2            1  .   .  .  .  .  .  .  .  1  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APC              .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> APC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APCS             .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> APEH             1  .   .  1  4  1  .  .  .  .  .  .  .  .  .  1  2  1  .  .  .  1  .  .  1  .  2  .  1  .  .  .  1  .  .  1  .  .  . #> APEX1            1  2   4  .  .  1  .  1  1  2  .  .  1  1  .  4  3  1  1  2  1  .  2  .  .  .  3  1  1  .  1  2  .  .  1  .  .  3  3 #> APEX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APH1A            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> APH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> API5             .  1   1  .  .  .  .  .  .  .  1  1  .  .  1  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  .  1 #> APIP             1  1   1  .  .  2  .  .  .  .  .  2  1  .  .  1  .  .  2  1  1  .  .  .  1  1  3  .  .  1  1  .  1  .  1  .  1  .  1 #> APLF             .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APLP1            1 10   .  2  .  .  5 12  6  3  9  2  1  4  .  .  7  4  .  7  5  3 15  5  5  .  .  5  4  5  .  2  3  8 10  5  9  .  9 #> APLP2            4  .   1  .  5  3  1  1  .  .  3  1  3  2  2  4  .  1  2  1  1  .  .  .  1  .  1  .  1  2  1  .  2  1  .  .  1  .  1 #> APMAP            .  .   .  1  1  .  1  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> APOA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APOBEC1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC3H         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBR            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOC1            .  2   1  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  3  .  .  .  .  .  .  1  .  .  .  3  2  .  .  .  .  .  .  . #> APOC3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOE             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOF             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOLD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOM             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOO             2  1   .  .  .  .  .  .  .  1  1  .  .  2  1  2  .  .  .  .  2  .  .  .  .  1  .  .  1  2  1  .  2  1  .  .  .  .  1 #> APOOL            .  .   2  .  .  1  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  2  1  1  .  .  .  2  2  .  .  .  .  1  1  1 #> APP              2  1   4  .  2  4  3  2  1  1  2  3  3  1  3  2  1  1  1  1  1  5  2  1  5  3  3  3  .  2  .  2  6  3  1  5  6  1  6 #> APPBP2           1  .   2  .  1  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  1  1  1  2  .  .  1  1  .  .  2  2  1 #> APPL1            1  .   1  .  .  1  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  . #> APPL2            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  1  1 #> APRT             4  .   1  1  .  3  .  2  .  3  .  .  3  7  2  4  2  .  1  .  .  1  1  .  1  .  3  2  1  .  2  1  .  .  .  2  1  .  2 #> APTX             .  .   .  .  .  .  1  1  2  .  .  .  2  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  1  .  .  1  1  .  .  .  .  .  . #> AQP1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP11            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12A           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP4             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP8             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQR              .  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  .  .  . #> ARAF             .  .   .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  3  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARAP1            .  .   .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ARAP2            .  1   .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARC              .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ARCN1            3  1   1  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  1  .  3  .  2  .  .  .  .  1  .  .  .  .  .  2  .  .  .  . #> AREG             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AREL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ARF1             4  4  12  5  3  3  3  9  1  4  3  3  3 11  4  5  3  2  4  5  4  5  4  4  5  7  3  3  4  4  7  5  6  2  3  3  5  3  8 #> ARF3             1  .   1  1  .  1  .  1  2  .  1  .  .  1  .  .  1  .  .  1  1  2  .  2  .  .  .  2  .  .  .  .  .  1  1  1  2  .  1 #> ARF4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARF5             8  4   3  7  5 11 10 10  4  8  3 12  8 11  8  4  5 11  4 13  4 10 12  6  8  3  3  2  7  4  5 26  4  9  6  5 15  9 16 #> ARF6             2  2   4  .  .  .  .  1  .  .  1  .  .  .  1  6  2  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ARFGAP1          .  .   .  .  .  1  .  1  .  .  .  .  1  .  .  .  2  .  .  .  .  1  1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  2 #> ARFGAP2          1  .   .  .  .  .  .  1  .  .  1  1  1  2  .  .  .  .  2  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1  . #> ARFGAP3          .  1   .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  1  .  .  .  2  .  .  .  5  1  .  2  .  .  1  .  2  .  .  .  .  . #> ARFGEF1          1  1   1  .  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2 #> ARFGEF2          1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARFGEF3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARFIP1           .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  1  .  1  .  .  .  . #> ARFIP2           1  .   .  .  .  .  1  .  1  .  .  .  .  .  1  .  .  .  1  1  1  .  5  .  1  .  .  .  .  1  .  1  1  .  .  1  .  2  1 #> ARFRP1           .  .   .  .  .  2  .  .  .  .  2  1  .  .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  1 #> ARG1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  3  1  2  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  . #> ARG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARGLU1           .  1   6  1  .  .  .  .  .  1  1  .  .  6  3  .  1  .  .  .  1  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  2 #> ARHGAP1          .  .   2  1  .  .  1  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  1  .  1  .  .  . #> ARHGAP10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP11A        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP11B        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP12         .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1 #> ARHGAP17         .  .   .  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  1  . #> ARHGAP18         .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  . #> ARHGAP19         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP19-SLIT1   .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP20         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP21         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ARHGAP22         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP23         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP24         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP26         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP27         .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP28         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGAP29         .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP31         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP32         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP33         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP35         .  .   .  .  .  .  1  2  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  2  .  .  .  1  1  .  .  .  .  1  1  1  .  .  . #> ARHGAP36         .  .   .  .  .  .  .  6  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  3  .  .  .  .  .  .  .  .  .  . #> ARHGAP39         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> ARHGAP4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP42         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP44         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP5          .  .   .  .  1  .  1  2  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  2  2  .  .  .  .  1  .  .  .  .  .  2 #> ARHGAP6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP9          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIA          2  .   6  .  3  3  2  3  2  .  .  2  2  2  1  1  1  1  2  1  1  2  4  .  4  1  1  .  1  3  1  4  .  3  .  2  4  4  3 #> ARHGDIB          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIG          .  .   .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> ARHGEF1          1  .   2  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF10L        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ARHGEF11         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF12         1  .   .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF15         .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF16         .  1   .  .  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  2  .  .  1  1  .  1  .  .  .  .  .  .  1  1  1 #> ARHGEF17         .  .   .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  . #>                                                           #> A1CF             . .  .  .  .  .  . .  . .  .  . . ...... #> A3GALT2          . .  .  .  .  .  . .  . .  .  . . ...... #> AAAS             . .  .  .  .  .  . .  . .  .  . . ...... #> AACS             . .  .  .  .  .  1 1  . .  .  . 1 ...... #> AADAC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAGAB            1 .  .  .  .  .  . .  . .  1  . . ...... #> AAK1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AAMDC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAMP             5 1  2  1  1  4  . 1  . 2  1  1 1 ...... #> AAR2             . 1  .  .  .  .  . 1  . .  .  . . ...... #> AARD             . .  .  .  .  .  . .  . 4  .  . . ...... #> AARS1            . 1  1  .  .  1  1 .  1 .  .  . . ...... #> AARS2            . .  .  .  .  .  . .  . .  .  . . ...... #> AARSD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AASDH            . .  .  .  .  .  . .  . .  .  . . ...... #> AASDHPPT         . .  .  .  .  1  . .  . 1  1  . . ...... #> AASS             . .  .  .  .  .  . .  . .  .  . . ...... #> AATF             . .  .  .  .  .  . .  . .  .  . . ...... #> AATK             . .  .  .  .  .  . .  . .  .  . . ...... #> ABAT             . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA1            . .  .  .  .  .  . .  . .  .  2 . ...... #> ABCA12           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA3            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABCA4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA7            1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB10           1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCB11           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB6            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB7            . .  .  .  .  .  . .  1 .  .  . . ...... #> ABCB8            . .  .  .  .  .  . 1  . .  .  . . ...... #> ABCB9            1 1  .  .  .  1  . 1  . .  .  . . ...... #> ABCC1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCC10           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC3            . .  1  .  .  .  . .  . .  .  . . ...... #> ABCC4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC5            1 .  .  .  1  .  . .  . .  .  . . ...... #> ABCC8            6 2  .  .  .  1  . .  . .  .  . 3 ...... #> ABCC9            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCD1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCD3            2 1  2  1  1  .  . .  1 .  .  1 3 ...... #> ABCD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCE1            . 1  .  .  .  1  1 1  . .  .  . . ...... #> ABCF1            1 2  .  1  1  .  1 1  3 .  .  2 1 ...... #> ABCF2            . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF2-H2BE1      . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF3            . .  .  .  .  .  1 .  . .  .  1 . ...... #> ABCG1            . 1  .  .  .  .  . .  . .  .  . 1 ...... #> ABCG5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCG8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD10           . .  .  1  .  .  . .  . .  .  . . ...... #> ABHD11           . 1  2  .  .  .  . .  . .  .  1 . ...... #> ABHD12           . .  .  .  .  .  . .  1 1  .  2 . ...... #> ABHD13           . .  .  1  .  .  . .  1 .  .  . . ...... #> ABHD14A          . .  2  1  .  .  . .  . 1  .  . . ...... #> ABHD14A-ACY1     . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD14B          . .  .  2  .  .  . .  1 .  1  . 1 ...... #> ABHD15           . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD16A          2 .  .  .  .  .  2 .  . .  1  . 1 ...... #> ABHD17A          . .  1  1  .  .  . .  . .  .  . 1 ...... #> ABHD17B          . .  1  .  .  .  . .  . .  .  . . ...... #> ABHD17C          1 .  .  .  .  .  . .  1 .  1  . 1 ...... #> ABHD18           . .  .  .  1  .  . .  1 .  .  . . ...... #> ABHD2            . 2  .  .  .  .  . .  . .  .  . . ...... #> ABHD3            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD5            . 1  .  .  1  .  . .  . .  .  . . ...... #> ABHD6            . .  .  .  1  .  . .  . .  1  . . ...... #> ABHD8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABI1             1 1  .  1  2  .  . .  . 1  .  . . ...... #> ABI2             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABI3             . .  .  .  .  .  . .  . .  .  . . ...... #> ABL1             . 1  .  .  .  .  . .  . .  1  . . ...... #> ABL2             . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM1           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM2           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM3           . .  .  .  .  .  . .  . .  .  . . ...... #> ABR              . .  .  .  .  .  . .  . .  .  1 . ...... #> ABRACL           5 2  1  .  .  2  1 1  4 2  1  3 1 ...... #> ABT1             . 1  .  .  2  .  1 .  . .  2  . . ...... #> ABTB1            1 1  .  1  .  .  1 .  . .  .  . . ...... #> ABTB2            . .  .  .  .  .  . .  . .  .  1 . ...... #> AC000120.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC001226.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AC002094.3       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC002310.4       . .  1  .  .  .  . .  . .  .  . . ...... #> AC002985.1       . .  .  .  .  .  . 2  1 .  1  . . ...... #> AC002996.1       . .  .  .  .  .  . .  1 1  1  . . ...... #> AC003005.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004076.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004556.3       . .  1  .  .  .  . .  1 .  1  . 1 ...... #> AC004593.2       . .  .  1  .  .  . .  . .  .  . . ...... #> AC004687.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004691.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC004832.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004922.1       3 .  2  3  3  .  3 3  5 1  3  1 1 ...... #> AC004997.1       . .  .  .  1  .  . .  . .  .  . . ...... #> AC005041.1       . .  .  .  .  1  . .  . .  .  . . ...... #> AC005154.5       . .  .  1  1  .  . .  1 .  .  . . ...... #> AC005192.1       . 1  .  .  .  .  . .  1 .  .  . . ...... #> AC005324.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005520.1       2 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005670.2       . .  .  1  .  1  . .  1 .  1  . . ...... #> AC005697.1       1 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005726.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005943.1       4 2  4  1  1  .  1 3  6 2  4  1 7 ...... #> AC006030.1       . .  .  .  .  .  . 2  . .  .  1 1 ...... #> AC006059.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC006064.6       1 .  1  .  1  .  . 1  . 3  1  5 3 ...... #> AC006254.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007040.2       1 .  1  .  2  .  . .  . .  1  . 1 ...... #> AC007192.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007326.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007687.1       2 6  8  2  2  2  2 4  4 1  4  3 8 ...... #> AC008012.1       . 1  3  .  .  .  . .  . .  .  1 1 ...... #> AC008073.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008397.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008581.2       . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AC008695.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC008764.1       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC008770.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009070.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009690.1       . 1  .  2  .  1  1 .  2 1  1  1 . ...... #> AC009690.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC009779.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC010197.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC010319.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC010323.1       3 1  8  .  1  1  2 5  1 1  7  . 3 ...... #> AC010422.3       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010422.5       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010463.1       1 2  .  1  1  .  . 3  . .  .  . . ...... #> AC010616.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011005.1       3 2  1  1  3  .  . 1  . 1  2  4 3 ...... #> AC011448.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011455.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011462.1       . .  .  2  1  1  1 .  1 .  1  1 . ...... #> AC011473.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011479.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011499.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011511.4       . .  .  .  .  .  1 .  1 .  1  . . ...... #> AC012213.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC012488.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013394.1       . .  .  .  .  .  . .  3 .  .  . . ...... #> AC013477.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013489.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013717.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC015802.6       1 .  1  1  1  .  1 .  1 .  1  . . ...... #> AC016027.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC017083.3       . .  .  .  .  .  . .  . .  .  1 . ...... #> AC018362.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC019117.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC020765.6       . .  .  .  .  .  . .  . .  1  . . ...... #> AC020907.6       . 1  2 10  3  7  2 1  . 3  3  5 . ...... #> AC021087.5       . .  1  1  1  .  . 1  . 1  .  . 1 ...... #> AC021660.3       1 .  .  .  1  .  . .  . .  .  1 . ...... #> AC022384.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022400.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022414.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022826.2       . .  .  .  .  .  . .  . .  .  . 1 ...... #> AC023055.1       . .  .  .  1  1  . 1  . 1  1  . . ...... #> AC024592.3       6 4  3  3  3  .  3 1  1 1  3  . 6 ...... #> AC025165.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC026464.1       1 .  1  .  .  1  . 1  . .  .  . . ...... #> AC026464.3       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC026464.4       . .  2  .  .  .  1 .  . .  .  . . ...... #> AC026464.6       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC027644.4       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC027796.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC034102.2       3 2  1  .  .  1  . 1  . .  1  1 . ...... #> AC034228.3       . .  .  .  .  1  . .  . .  .  . . ...... #> AC036214.3       1 .  1  2  3  .  4 3  1 4  5  . 2 ...... #> AC037459.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC048338.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC055811.2       . .  .  .  1  .  . .  1 1  .  . . ...... #> AC055839.2       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC064824.1       . .  1  .  .  .  1 .  . 1  .  . . ...... #> AC068234.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068533.4       . 1  2  .  .  .  1 .  . 1  .  . . ...... #> AC068547.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068580.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068631.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068831.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068946.2       . .  .  2  .  .  1 .  . .  .  . . ...... #> AC069257.3       . .  .  .  .  .  . .  . 1  1  . . ...... #> AC069503.2       . .  .  .  .  .  . 1  . 2  .  1 . ...... #> AC073508.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC073612.1       . .  .  1  .  .  . .  . 1  .  1 . ...... #> AC073896.1       5 4  3  2  3  2  3 2  5 3  6  1 2 ...... #> AC074143.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078815.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078927.1       1 1  1  .  .  1  1 1  . 2  1  . . ...... #> AC079447.1       2 2  3  1  .  2  2 2  4 1  4  . 3 ...... #> AC079594.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC083977.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC087721.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090004.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090227.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090517.4       1 .  .  1  1  1  . .  . .  .  . . ...... #> AC091057.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.7       . 1  .  .  .  .  1 .  . .  .  . 1 ...... #> AC091959.1       . 1  .  .  .  .  1 3  . .  .  . . ...... #> AC092017.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092042.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092073.1       . .  .  1  .  .  1 1  . .  1  . . ...... #> AC092143.1       5 1  .  2  7  .  . 1  . 1  .  5 2 ...... #> AC092647.5       . .  2  .  2  .  . 3  1 .  2  2 . ...... #> AC092718.2       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092718.7       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092835.1       . .  .  1  .  .  . .  . .  1  . . ...... #> AC093155.3       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AC093323.1      12 7  1 11  5  2  4 7  8 8  6  8 4 ...... #> AC093525.1       . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AC093525.2       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC093827.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC093884.1       . .  1  1  .  .  . .  . .  .  . . ...... #> AC096887.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC097634.4       . 1  3  2  3  .  1 .  . .  .  . 1 ...... #> AC104389.5       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC104452.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC104472.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC105052.1       . .  .  6  .  .  . .  . .  .  . . ...... #> AC105052.3       . .  3  .  2  1  1 1  1 .  .  . 3 ...... #> AC106741.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC106873.8       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC106886.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC108488.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC109583.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC112128.1       . .  .  1  .  .  . .  . .  .  . . ...... #> AC116366.1       . .  .  .  .  .  . 1  . .  .  1 1 ...... #> AC117378.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC117457.1       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC119674.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC126283.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC129492.3       . .  1  1  .  1  3 1  . .  1  . . ...... #> AC131160.1       . 1  2  .  2  1  1 .  . 1  3  . . ...... #> AC136352.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC136475.9       1 1  6  7  1  1  . 1  8 .  8 10 . ...... #> AC136616.1       . .  .  1  1  .  . .  . .  .  . . ...... #> AC137834.1       1 2  .  1  1  .  . .  . .  1  . . ...... #> AC138647.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC138696.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC139530.2       . .  .  .  .  .  . 1  . 1  1  . . ...... #> AC140504.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC142391.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC243967.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC244197.3       . .  .  1  1  .  . .  . .  .  . 1 ...... #> AC245033.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC245748.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC253536.7       . .  .  1  .  1  . .  . .  3  . 1 ...... #> ACAA1            3 3  .  1  .  1  1 .  4 .  .  1 1 ...... #> ACAA2            1 .  .  1  .  .  . .  . .  3  . . ...... #> ACACA            . .  1  .  .  .  . .  . 1  .  . . ...... #> ACACB            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD8            1 1  .  1  .  .  . .  1 .  .  . . ...... #> ACAD9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACADL            . 2  2  1  .  .  . 1  . 1  1  . . ...... #> ACADM            . .  2  1  .  .  . .  . 1  2  . 1 ...... #> ACADS            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ACADSB           1 .  .  .  .  .  . .  2 .  .  . 1 ...... #> ACADVL           . .  2  .  .  2  2 1  . 1  .  . 1 ...... #> ACAN             . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP2            . .  .  .  1  .  . 1  . .  .  . . ...... #> ACAP3            . .  .  .  1  .  . .  . .  .  . . ...... #> ACAT1            1 1  .  .  .  .  1 .  . .  1  . . ...... #> ACAT2            . 1  .  .  .  .  . 1  . .  2  . . ...... #> ACBD3            1 2  2  .  1  1  . .  1 .  .  . . ...... #> ACBD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACBD5            . 1  1  1  .  .  . .  . .  .  . 1 ...... #> ACBD6            . 1  2  2  1  1  . 1  . 2  .  1 1 ...... #> ACBD7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACCS             . .  .  .  .  .  . .  . .  .  . . ...... #> ACD              . .  1  .  .  .  . .  . .  .  2 2 ...... #> ACE2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACER2            1 1  2  .  1  .  . .  2 .  2  1 . ...... #> ACER3            . .  .  .  .  .  . .  . 1  .  . . ...... #> ACIN1            1 2  2  .  .  .  . .  2 1  2  . . ...... #> ACKR3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACLY             6 1  .  .  3  .  1 1  1 2  2  . 5 ...... #> ACO1             . 1  1  .  .  .  . .  1 .  .  . . ...... #> ACO2             2 2  3  1  1  2  . 1  3 2  1  1 . ...... #> ACOT1            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT12           . .  .  .  .  1  . .  . .  .  . . ...... #> ACOT13           2 .  1  .  .  .  1 .  1 1  2  1 1 ...... #> ACOT2            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT6            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT8            . .  1  .  .  .  . .  . .  .  . 1 ...... #> ACOT9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX1            . .  .  1  .  .  . .  . .  .  . . ...... #> ACOX2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOXL            . .  .  .  .  .  . .  . .  .  . . ...... #> ACP2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP3             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP5             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP6             . .  .  .  1  .  1 .  . .  .  1 . ...... #> ACRBP            . .  .  .  .  .  . .  . .  .  1 . ...... #> ACSBG1           1 .  .  .  .  .  . .  . .  .  . . ...... #> ACSF2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSF3            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL1            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL3            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL4            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL5            . 1  .  .  .  .  . .  . .  1  1 . ...... #> ACSL6            . .  .  .  .  1  . .  . .  .  . . ...... #> ACSM3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSS3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTB             8 8 26 15 18 16 13 7 35 9 20 13 8 ...... #> ACTC1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTG1           10 . 21  3 13  3 17 3 30 8 24 14 4 ...... #> ACTL10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTL6A           . .  1  1  .  .  . .  2 .  .  4 1 ...... #> ACTL6B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTN1            . .  .  1  .  .  . .  3 .  .  . . ...... #> ACTN3            . .  .  .  .  .  . .  . .  .  . 3 ...... #> ACTN4            1 .  3  .  1  .  1 1  2 .  1  . 1 ...... #> ACTR10           1 .  1  .  .  .  . 2  . 1  4  . 1 ...... #> ACTR1A           . 2  1  .  .  .  . .  . .  .  1 . ...... #> ACTR1B           . 1  1  .  2  .  1 .  . 1  1  . . ...... #> ACTR2            . .  .  1  2  .  . 1  . .  .  . 1 ...... #> ACTR3            . 4  .  1  .  1  . .  . .  3  . . ...... #> ACTR3B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR3C           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR5            . .  .  .  .  .  . 1  . 1  .  . . ...... #> ACTR6            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACTR8            1 .  .  .  1  1  . .  1 .  .  . . ...... #> ACTRT3           . .  .  .  .  .  . .  . .  .  . . ...... #> ACVR1B           . .  .  .  .  .  . 1  . .  .  . . ...... #> ACVR1C           . 1  .  .  .  .  . .  . .  .  . . ...... #> ACVR2A           . .  .  .  .  .  . .  . 1  .  . . ...... #> ACVR2B           . .  1  .  .  1  . 1  . .  1  . . ...... #> ACVRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ACY1             . .  .  .  .  .  . .  . .  .  . . ...... #> ACY3             . .  .  .  .  1  . .  . .  .  . . ...... #> ACYP1            2 1  1  .  .  .  . .  . 1  1  . . ...... #> ACYP2            . .  .  .  .  .  . .  . 1  .  . . ...... #> AD000671.1       2 1  1  .  2  .  . 2  . 1  2  1 2 ...... #> ADA              . .  .  .  .  .  . .  . .  .  . . ...... #> ADAL             . .  .  .  .  .  . 1  . .  .  . . ...... #> ADAM10           2 1  .  .  1  .  . .  1 .  .  . . ...... #> ADAM11           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADAM12           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM15           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADAM17           . .  .  .  1  .  . .  . .  .  . . ...... #> ADAM21           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM22           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM23           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM30           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM32           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM9            . .  .  .  .  .  . .  . .  .  1 1 ...... #> ADAMTS1          . .  2  .  .  .  . .  . .  1  . . ...... #> ADAMTS10         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS13         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS15         1 .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS16         . .  2  .  .  .  . .  . .  .  . . ...... #> ADAMTS17         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS18         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS19         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS2          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS5          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS6          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS7          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS8          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS9          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL1         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL2         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL4         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL5         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAR             . .  .  .  .  .  . .  . .  .  . . ...... #> ADARB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT2            . .  .  .  .  .  . .  . .  1  . . ...... #> ADCK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK5            1 .  .  .  .  .  . .  3 1  .  . . ...... #> ADCY1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY3            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY5            . .  .  .  .  .  . 1  . .  .  . . ...... #> ADCY6            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY9            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADCYAP1R1        . .  .  .  .  .  . .  . .  .  . . ...... #> ADD1             . 2  .  1  1  .  . .  . .  .  . 1 ...... #> ADD2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADD3             . .  .  .  .  .  . .  . .  .  . . ...... #> ADGB             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA1           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADGRA2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA3           . .  .  .  .  .  . .  . .  .  1 . ...... #> ADGRB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRB3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRE5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRF5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG1           . .  .  .  1  .  1 .  2 .  1  1 1 ...... #> ADGRG2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG6           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADGRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRV1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1A            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1C            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH5             2 .  4  1  .  .  3 2  2 .  6  2 1 ...... #> ADH7             . .  .  .  .  .  . .  . .  .  . . ...... #> ADI1             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADIPOR1          2 4  .  1  2  1  1 .  3 3  2  . 1 ...... #> ADIPOR2          1 .  .  .  .  .  . .  . .  .  . . ...... #> ADK              1 2  .  .  .  .  1 .  . .  2  . . ...... #> ADM              . .  .  .  .  .  . .  . .  .  . . ...... #> ADM2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADNP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADO              . .  .  .  .  .  . 2  1 .  .  . . ...... #> ADORA1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADORA2A          . 2  .  .  .  1  . .  . 1  .  . . ...... #> ADORA2B          . .  .  .  .  .  . .  . .  .  . . ...... #> ADPGK            . .  .  .  .  .  1 .  1 .  2  . . ...... #> ADPRH            . .  .  1  .  .  . 1  . 1  .  1 . ...... #> ADPRM            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRA2A           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADRA2C           . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB2            . .  .  .  .  .  . 2  . .  .  . . ...... #> ADRM1            1 1  .  1  .  .  . 2  3 .  3  1 1 ...... #> ADSL             . .  .  .  .  .  1 .  . .  1  . . ...... #> ADSS1            . .  .  .  .  .  . .  . .  1  . . ...... #> ADSS2            . .  1  2  .  1  . .  . .  1  . . ...... #> AEBP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AEBP2            . .  .  .  .  .  . .  . .  .  . . ...... #> AEN              . .  .  .  .  .  . .  . .  .  . . ...... #> AF196969.1       . .  .  1  .  .  . .  . .  1  1 . ...... #> AF241726.1       7 3  .  3  1  5  1 4  . 1  .  1 5 ...... #> AFAP1            2 .  .  .  .  .  . 1  . .  .  . . ...... #> AFAP1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> AFAP1L2          . .  .  .  .  .  . .  . .  .  . . ...... #> AFF1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AFF2             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF3             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF4             . .  .  .  1  .  2 .  . 1  1  . . ...... #> AFG3L2           . .  .  .  .  .  . .  . 2  .  . . ...... #> AFM              . .  1  .  .  .  . .  . .  .  . . ...... #> AFP              . .  .  .  .  .  . .  . .  .  . . ...... #> AFTPH            1 .  .  .  .  .  . .  . .  .  . . ...... #> AGA              . 1  1  .  .  .  . 1  1 .  .  . . ...... #> AGAP1            . .  .  .  .  1  . .  . .  .  . 1 ...... #> AGAP3            1 .  .  1  .  .  . 1  . .  .  . . ...... #> AGBL3            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL4            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL5            . .  .  .  1  .  . .  . .  .  . . ...... #> AGER             . .  .  .  .  .  . .  . .  .  . . ...... #> AGFG1            1 .  .  1  1  .  . .  . .  .  . . ...... #> AGFG2            . .  .  .  .  .  2 .  . 1  .  . . ...... #> AGGF1            . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AGK              . .  .  .  1  .  . .  . .  .  . . ...... #> AGL              . .  .  .  .  .  . .  . .  .  . . ...... #> AGMAT            . .  .  .  .  .  . .  . .  .  . . ...... #> AGMO             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO1             . .  .  .  1  .  1 1  . .  .  . . ...... #> AGO2             . .  .  .  1  .  . .  . .  .  . 1 ...... #> AGO3             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO4             . .  .  .  .  .  . .  . .  .  . . ...... #> AGPAT1           . .  .  .  1  1  . .  . .  .  . 1 ...... #> AGPAT2           . .  .  .  .  .  . 2  . .  .  . 1 ...... #> AGPAT3           . .  1  1  .  .  . .  . .  1  . . ...... #> AGPAT4           . 1  .  .  1  1  . 2  1 .  .  1 . ...... #> AGPAT5           . .  .  .  1  .  . .  . .  1  . 1 ...... #> AGPS             . .  .  .  .  .  . .  . .  .  . . ...... #> AGR2             . .  .  .  .  .  . .  . .  .  . . ...... #> AGRN             . 1  .  .  1  .  . .  . .  .  . . ...... #> AGRP             . .  .  .  .  .  . .  . .  .  . . ...... #> AGT              . .  .  .  .  .  . .  . .  .  . 2 ...... #> AGTPBP1          . .  .  .  .  .  . .  . .  .  . . ...... #> AGTR1            . .  .  .  .  .  . .  . .  .  . . ...... #> AGTRAP           . .  .  .  1  .  . .  . 1  .  . 1 ...... #> AGXT             . .  .  .  .  .  . .  . .  .  . . ...... #> AHCTF1           . .  .  .  .  .  . .  . .  .  . . ...... #> AHCY             . .  .  .  .  .  . .  1 .  .  . . ...... #> AHCYL1           1 .  .  1  .  .  2 2  1 1  .  . 2 ...... #> AHCYL2           1 .  1  .  .  .  . .  . .  .  . 1 ...... #> AHDC1            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AHI1             . .  1  .  1  .  1 .  . 3  .  . . ...... #> AHNAK            . .  .  .  .  .  . .  . .  .  . . ...... #> AHNAK2           . .  .  .  .  .  . .  . .  .  . . ...... #> AHR              . .  .  .  .  .  . .  . .  .  . . ...... #> AHSA1            . 2  .  1  .  1  2 2  3 2  1  . 3 ...... #> AHSG             . .  .  .  .  .  . .  . .  .  . . ...... #> AIDA             . .  1  .  .  .  . 1  . .  .  . . ...... #> AIF1             . .  .  .  .  .  . .  . .  .  . . ...... #> AIF1L            . .  .  .  .  .  . .  . .  .  . . ...... #> AIFM1            . .  .  .  .  2  . .  . .  .  . . ...... #> AIFM2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AIFM3            . .  .  .  .  .  . .  . .  .  . . ...... #> AIG1             . .  1  .  .  1  2 1  2 .  .  . . ...... #> AIMP1            . 1  1  .  3  .  . 1  2 .  3  2 . ...... #> AIMP2            1 .  1  .  .  .  . 1  1 .  .  . . ...... #> AIP              . 1  .  .  .  .  1 1  1 .  .  . 2 ...... #> AIPL1            . .  .  .  .  .  . .  . .  .  . . ...... #> AIRE             . .  .  .  .  .  . .  . .  .  . . ...... #> AJAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AJUBA            . .  .  .  .  .  . .  . .  .  . . ...... #> AK1              . .  .  .  .  1  2 .  . .  .  . . ...... #> AK2              . .  .  1  .  .  2 1  1 1  1  1 . ...... #> AK3              . 1  .  .  .  .  . .  . .  .  . . ...... #> AK4              . .  .  .  .  .  . .  . .  .  . . ...... #> AK5              . .  .  .  .  .  . .  . .  .  . . ...... #> AK7              . .  .  .  .  .  . .  . .  .  . . ...... #> AK8              . .  .  1  .  .  . .  . .  .  . . ...... #> AKAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP10           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP11           . .  .  1  .  .  . 1  . .  .  . . ...... #> AKAP12           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP13           . .  .  1  .  1  . .  1 .  .  1 . ...... #> AKAP5            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP7            . 1  .  .  .  .  . .  . 1  .  . . ...... #> AKAP8            . .  .  .  .  .  . 1  . 1  .  . . ...... #> AKAP8L           2 .  .  .  2  1  3 1  . .  .  1 . ...... #> AKAP9            1 .  1  .  3  3  1 3  2 1  .  . . ...... #> AKIP1            . .  1  .  .  .  . 1  . .  1  . . ...... #> AKIRIN1          1 1  .  1  1  .  1 .  1 1  1  . 1 ...... #> AKIRIN2          1 1  2  1  1  1  4 2  1 3  .  2 3 ...... #> AKNA             . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1A1           3 1  4  4  6  2  4 3  5 4  9  5 1 ...... #> AKR1B1           . .  .  .  .  .  . .  . .  .  1 . ...... #> AKR1B10          . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1E2           . 1  .  1  .  .  . 1  . 1  .  . 1 ...... #> AKR7L            . .  1  .  .  1  1 1  1 2  2  2 . ...... #> AKT1             . .  .  1  .  1  . 1  1 1  .  . . ...... #> AKT1S1           1 .  1  2  2  .  . 3  . 1  2  . . ...... #> AKT2             . 1  .  .  .  .  . .  . .  .  . . ...... #> AKT3             . .  .  .  1  .  . .  . .  .  . . ...... #> AKTIP            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AL033529.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL035461.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049629.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049634.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049697.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049779.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049844.3       1 1  .  .  1  .  . .  . 1  .  . . ...... #> AL096711.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL110118.1       . .  1  .  .  .  . .  . .  1  . . ...... #> AL117348.2       . 3  .  1  .  .  4 1  . 1  1  . 3 ...... #> AL132671.2       . 2  .  .  .  .  . .  2 .  .  . . ...... #> AL132780.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL133352.1       4 1  2  3  1  1  3 4  6 3  6  . 9 ...... #> AL133500.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.3       . 1  1  1  .  .  . .  . .  .  . 2 ...... #> AL136295.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.5       . 1  .  .  .  .  . 1  . .  .  . . ...... #> AL138752.2       . .  .  .  .  .  . 1  . 1  .  . . ...... #> AL139142.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL139260.3       . .  2  .  .  .  . 1  . .  .  1 2 ...... #> AL157392.5       . .  .  .  .  1  1 .  1 .  1  . . ...... #> AL157935.2       . 1  .  .  .  .  . .  . .  .  . . ...... #> AL159163.1       1 2  1  .  .  3  . .  5 .  2  . . ...... #> AL160269.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL162231.3       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL162417.1       . .  .  .  .  .  1 .  . .  .  . 1 ...... #> AL162596.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL353671.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355312.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355315.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355916.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL357075.4       1 .  .  1  .  .  . .  . .  .  1 . ...... #> AL357673.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358113.1       . .  .  .  1  .  . .  . .  1  . . ...... #> AL358472.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358472.7       2 .  .  1  3  .  . 3  1 4  1  1 1 ...... #> AL359736.1       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AL360181.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL365205.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL391628.1       2 .  .  .  .  .  . .  . .  .  . 1 ...... #> AL445524.2       1 .  .  .  .  .  1 .  . 1  .  . . ...... #> AL445685.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL451062.2       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL451136.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512506.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512785.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL590132.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL592183.1       1 1  1  2  1  .  . .  . 2  2  . 2 ...... #> AL603832.3       1 .  2  .  .  .  . 1  . .  1  1 . ...... #> AL645941.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL662899.1       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL662899.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL669918.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL807752.7       . .  .  .  .  .  . .  . .  .  . . ...... #> AL845331.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL928654.3       . .  .  .  .  1  . .  . .  .  1 . ...... #> ALAD             1 .  1  .  .  1  . .  . .  .  . . ...... #> ALAS1            . .  .  1  .  .  1 1  . .  1  . . ...... #> ALB              . .  .  .  .  .  . .  . .  .  . . ...... #> ALCAM            . .  .  .  .  1  1 .  . .  1  . . ...... #> ALDH16A1         . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDH18A1         . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A1          . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1A3          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1B1          . .  1  .  .  .  . .  5 .  .  . 1 ...... #> ALDH1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH2            . .  .  .  .  .  . .  1 1  1  . . ...... #> ALDH3B1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH3B2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH4A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH5A1          1 .  .  .  .  .  . .  . .  2  . 1 ...... #> ALDH6A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH7A1          . 1  .  .  .  .  . .  1 1  1  . 1 ...... #> ALDH9A1          . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDOA            3 4  1  4  3  1  3 5  4 6  5  1 6 ...... #> ALDOB            . .  .  .  .  .  . .  . .  .  . . ...... #> ALDOC            . .  3  .  .  .  1 .  . .  .  . 1 ...... #> ALG1             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG10            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG10B           . .  .  .  .  .  . .  . .  .  . . ...... #> ALG11            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG12            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG13            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG14            1 .  1  .  .  .  . .  . .  .  . . ...... #> ALG1L            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG1L2           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG3             . .  1  .  .  .  . 1  1 .  .  . 1 ...... #> ALG5             . .  .  .  1  .  . 1  1 .  .  1 . ...... #> ALG6             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG8             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALG9             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH1           1 .  .  .  .  .  . .  . .  1  . . ...... #> ALKBH2           . .  .  .  .  .  . .  . .  1  . 1 ...... #> ALKBH3           . .  .  .  .  .  . 1  . .  .  . . ...... #> ALKBH4           . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH5           1 2  .  .  2  .  . 1  2 .  1  . . ...... #> ALKBH6           . 2  1  1  .  .  1 1  . 1  .  . 1 ...... #> ALKBH7           . .  1  .  .  1  2 .  . 1  .  . . ...... #> ALKBH8           . .  .  .  1  .  . .  . .  .  . . ...... #> ALLC             . .  .  .  .  .  . .  . .  .  . . ...... #> ALMS1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX12           . .  .  .  .  .  . .  . .  1  . . ...... #> ALOX15B          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5AP          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOXE3           . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK3            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPL             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2CL           . .  .  .  .  .  . .  . .  .  . . ...... #> ALX3             . .  .  .  .  .  . .  . .  .  . . ...... #> ALYREF           . 2  .  .  .  1  2 2  . .  2  . . ...... #> AMACR            . .  .  .  .  .  . .  . .  .  . . ...... #> AMBP             2 .  5  1  .  .  . 4 10 .  7  . . ...... #> AMBRA1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMD1             1 .  .  .  .  .  . .  . .  1  . . ...... #> AMDHD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMDHD2           . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AMER1            . .  .  .  .  .  1 .  2 2  .  . . ...... #> AMER2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMER3            . .  .  .  .  .  . .  . .  .  . . ...... #> AMFR             2 1  .  .  .  .  . .  . 1  .  1 . ...... #> AMH              . .  .  .  .  .  . .  . .  .  . . ...... #> AMHR2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO2           . 2  .  .  .  .  1 .  . 1  .  . . ...... #> AMIGO3           . .  .  .  .  .  . .  . .  .  . . ...... #> AMMECR1          . .  .  .  .  .  . .  . .  1  . 1 ...... #> AMMECR1L         . .  .  1  1  1  . .  . 1  2  1 . ...... #> AMN              . .  .  .  .  .  . .  . .  .  . . ...... #> AMN1             . 1  .  1  .  .  . .  1 2  .  . . ...... #> AMOT             . .  .  .  .  .  . .  . .  .  . . ...... #> AMOTL1           . .  .  .  .  .  . .  1 .  .  . . ...... #> AMOTL2           . .  1  .  1  .  . .  1 .  1  . . ...... #> AMPD2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMPH             . .  .  .  .  .  . .  . .  .  . . ...... #> AMT              . 1  .  .  .  .  . .  . .  .  . . ...... #> AMZ1             . .  .  .  .  .  . .  . .  .  . . ...... #> AMZ2             . .  1  .  .  .  . .  . 1  .  . . ...... #> ANAPC1           . .  .  .  .  .  . .  . 1  1  . . ...... #> ANAPC10          . .  2  .  .  .  . .  . .  2  1 1 ...... #> ANAPC13          1 .  4  1  .  .  . .  1 2  3  . 1 ...... #> ANAPC15          . .  .  .  .  .  . .  . .  1  . . ...... #> ANAPC16          1 3  1  2  2  .  1 .  1 2  .  1 3 ...... #> ANAPC2           . .  .  .  .  .  1 .  . .  1  . 1 ...... #> ANAPC4           . 2  .  1  .  .  1 1  . .  .  . . ...... #> ANAPC5           1 4  3  1  .  1  . .  2 1  7  2 3 ...... #> ANAPC7           . .  1  1  .  .  . .  . .  .  . . ...... #> ANGEL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGEL2           . .  1  .  1  2  . .  1 .  1  . . ...... #> ANGPT1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPT2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL1          . .  .  .  .  .  . .  . .  1  . . ...... #> ANGPTL2          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL3          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL4          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL6          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL7          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL8          . .  .  .  .  .  . .  . .  .  . . ...... #> ANK1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANK2             . .  .  1  .  .  . .  . .  .  . . ...... #> ANK3             . .  1  .  .  .  . .  . .  .  . . ...... #> ANKEF1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKFY1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKH             2 1  .  .  .  2  1 1  . 2  1  1 1 ...... #> ANKHD1           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKHD1-EIF4EBP3  . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKIB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKMY2           1 .  .  .  .  .  1 .  . 1  2  . . ...... #> ANKRA2           . .  .  .  .  .  1 .  . .  .  1 . ...... #> ANKRD1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD10          . 1  .  1  .  .  . .  . .  .  1 . ...... #> ANKRD11          . 2  .  .  .  .  . .  2 .  .  1 1 ...... #> ANKRD12          . 1  .  1  .  .  . 2  1 .  .  . 1 ...... #> ANKRD13A         1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13C         . 1  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13D         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD16          . .  .  .  .  .  . 1  . .  .  1 . ...... #> ANKRD17          . .  .  .  2  1  1 .  . .  .  1 . ...... #> ANKRD2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD24          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD27          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD28          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD29          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD31          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD33B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34C         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD35          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD37          1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD39          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD40          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD44          1 2  .  .  1  1  . .  . .  .  1 . ...... #> ANKRD45          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD46          . .  .  .  .  .  . .  1 .  1  . . ...... #> ANKRD49          . .  .  .  1  .  . .  . .  .  . . ...... #> ANKRD50          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD54          2 1  .  .  1  .  . .  . 1  .  2 2 ...... #> ANKRD55          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD6           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD9           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKS1A           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS1B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS3            . 1  .  1  .  .  . .  . .  .  . . ...... #> ANKS4B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS6            . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKZF1           . .  .  .  .  .  . .  . .  .  1 . ...... #> ANLN             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO10            . .  .  1  .  .  . .  . .  .  . . ...... #> ANO2             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO6             . .  1  .  .  .  . .  . .  .  . . ...... #> ANO7             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO8             . .  .  .  .  .  . .  . .  .  1 . ...... #> ANO9             . .  .  .  .  .  . .  . .  .  . . ...... #> ANP32A           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32B           2 1  4  2  .  1  2 6  2 1  2  1 1 ...... #> ANP32D           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32E           . 1  1  .  .  .  . 1  2 .  3  . 1 ...... #> ANPEP            . 1  1  .  .  .  . .  . .  2  . . ...... #> ANTXR1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANTXR2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA10           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA11           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA13           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA2            . .  3  .  .  .  . .  1 .  3  . . ...... #> ANXA3            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA4            5 4  2  .  1  1  5 1  1 6  1  2 6 ...... #> ANXA5            1 2  1  2  .  1  . .  . 2  .  . . ...... #> ANXA6            1 .  2  3  1  2  . .  1 .  3  . . ...... #> ANXA7            . 2  1  1  1  .  1 .  1 .  .  . 1 ...... #> ANXA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA8L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA9            . .  .  .  .  .  . .  . .  .  . . ...... #> AOC1             . .  .  .  .  .  . .  . .  .  . . ...... #> AOC2             . .  .  .  .  .  . .  . .  .  . . ...... #> AP000295.1       . .  3  .  .  .  1 .  . 1  2  . . ...... #> AP000311.1       2 3  7  5  4  .  5 3  3 3  4  1 4 ...... #> AP000356.5       1 .  .  .  1  .  . 3  2 1  6  . 2 ...... #> AP000944.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AP001267.5       1 .  .  .  2  .  . 2  . .  .  2 . ...... #> AP001273.2       1 .  .  .  .  .  1 .  . 1  1  . . ...... #> AP001453.3       9 1  1  1  .  1  2 1  . .  4  . 6 ...... #> AP001781.2       . .  .  .  .  .  1 .  . .  .  . . ...... #> AP001931.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002373.1       1 1  .  .  .  2  . 2  1 1  2  1 . ...... #> AP002495.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002748.5       . .  .  .  .  .  . .  . 1  .  . . ...... #> AP002884.2       3 4  2  .  .  1  1 3  1 1  5  5 2 ...... #> AP002990.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP003419.1       . 1  .  2  .  .  1 2  . 1  .  1 . ...... #> AP1AR            1 .  .  .  .  .  . .  . .  .  . . ...... #> AP1B1            . .  1  1  .  .  . .  . .  .  . . ...... #> AP1G1            1 .  .  .  .  .  . .  1 1  .  . 1 ...... #> AP1G2            . .  .  .  .  .  . .  . .  .  . . ...... #> AP1M1            . .  .  .  1  1  . .  . 1  .  4 . ...... #> AP1M2            . 1  1  2  .  .  1 1  1 1  1  1 . ...... #> AP1S1            3 1  2  .  1  .  . 2  . 1  3  . 1 ...... #> AP1S2            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AP1S3            . .  .  .  .  .  . 1  . .  .  . . ...... #> AP2A1            1 .  1  2  .  1  2 .  . .  .  . . ...... #> AP2A2            . .  1  .  .  .  . .  1 .  .  . . ...... #> AP2B1            . .  .  1  .  .  . .  1 .  .  . . ...... #> AP2M1            . .  4  2  4  2  4 2  . 4  3  4 2 ...... #> AP2S1            3 1  3  2  3  1  1 3  1 3  4  1 3 ...... #> AP3B1            . .  .  .  1  .  . 1  2 .  .  . . ...... #> AP3B2            1 .  .  .  .  .  1 .  . .  .  . . ...... #> AP3D1            . .  .  .  .  .  1 .  . 2  .  . . ...... #> AP3M1            1 .  1  .  .  .  1 .  . .  1  . . ...... #> AP3M2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AP3S1            3 2  .  2  .  .  1 1  . .  .  1 2 ...... #> AP3S2            . .  .  2  1  1  . .  1 .  .  1 1 ...... #> AP4E1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4S1            . .  1  .  .  .  . 2  . .  .  . . ...... #> AP5B1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5S1            . .  .  .  .  .  1 .  . 1  .  . . ...... #> AP5Z1            . .  .  .  1  .  . .  . .  .  . . ...... #> APAF1            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA1            . .  .  .  .  .  1 .  . .  .  . . ...... #> APBA2            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA3            . .  .  .  .  .  . .  1 1  .  . . ...... #> APBB1            1 .  .  .  1  .  1 .  . 1  .  . 2 ...... #> APBB1IP          . .  .  .  .  .  . .  . .  .  . . ...... #> APBB2            . .  .  1  3  .  . 1  . .  .  . . ...... #> APC              . .  .  .  .  .  . .  . .  .  . . ...... #> APC2             . .  .  .  .  .  . .  . .  .  . . ...... #> APCS             . .  .  .  .  .  . .  . .  .  . . ...... #> APEH             . .  .  .  .  .  1 .  . .  .  1 . ...... #> APEX1            . .  3  .  .  .  . 1  1 1  2  1 . ...... #> APEX2            . .  .  .  .  .  . .  . .  .  . . ...... #> APH1A            . .  1  1  .  .  . .  . .  .  . . ...... #> APH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> API5             . .  .  .  1  .  . .  . .  .  . . ...... #> APIP             . 1  1  .  .  .  1 .  . .  2  . 1 ...... #> APLF             . .  .  .  .  .  . .  . .  .  . . ...... #> APLP1            5 3  . 11  5  7 10 5  . 3  . 12 8 ...... #> APLP2            . .  1  .  .  1  . .  2 2  .  1 . ...... #> APMAP            . .  .  .  1  .  . .  . .  .  . . ...... #> APOA1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOA2            1 .  .  .  .  .  . .  . .  .  . 1 ...... #> APOBEC1          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC2          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC3H         . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC4          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBR            . .  .  .  .  .  . .  . .  .  . . ...... #> APOC1            . .  .  .  .  .  . .  2 .  2  . . ...... #> APOC3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOD             . .  .  .  .  .  . .  . .  .  . . ...... #> APOE             . .  .  .  .  .  . .  . .  .  . . ...... #> APOF             . .  .  .  .  .  . .  . .  .  . . ...... #> APOH             . .  .  .  .  .  . .  . .  .  . . ...... #> APOL1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL2            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL4            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL6            . .  .  .  .  .  . .  . .  .  . . ...... #> APOLD1           . .  .  .  .  .  . .  . .  .  . . ...... #> APOM             . .  .  .  .  .  . .  . .  .  . . ...... #> APOO             . .  .  1  .  .  . 2  . 1  .  1 1 ...... #> APOOL            . 2  1  2  .  .  . .  1 .  1  . . ...... #> APP              1 4  .  1  .  .  2 2  2 4  2  1 3 ...... #> APPBP2           . 2  .  1  .  .  2 .  . .  2  . 1 ...... #> APPL1            . .  .  .  1  .  . .  . .  .  . . ...... #> APPL2            . 1  .  .  .  .  1 .  . .  1  . . ...... #> APRT             1 3  3  .  2  1  . 2  2 3  2  . 2 ...... #> APTX             . .  .  .  .  .  1 2  . .  .  . . ...... #> AQP1             . .  .  .  .  .  . .  . .  1  . . ...... #> AQP11            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AQP12A           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP12B           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP3             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP4             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP7             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP8             . .  .  .  .  .  . .  . .  .  . . ...... #> AQR              . .  1  .  .  .  . .  . .  .  . . ...... #> ARAF             . .  .  .  .  .  . .  . .  .  . . ...... #> ARAP1            . .  1  .  .  .  . .  . .  .  . . ...... #> ARAP2            . .  .  .  .  .  . 1  . .  .  . . ...... #> ARAP3            . .  .  .  .  .  . .  . .  .  . . ...... #> ARC              . 1  .  .  .  .  . .  . .  .  . . ...... #> ARCN1            1 .  .  .  .  .  1 1  . .  .  . 1 ...... #> AREG             . .  .  .  .  .  . .  . 1  .  . . ...... #> AREL1            . 1  .  .  .  .  . .  . .  .  . . ...... #> ARF1             3 3  3  9  4  2  1 7  5 4  5  1 2 ...... #> ARF3             . .  2  .  .  .  1 .  1 .  1  . 1 ...... #> ARF4             . .  .  .  .  .  . .  . .  .  . . ...... #> ARF5             6 7  2  8  6  4 13 4  7 8  9 11 5 ...... #> ARF6             . .  5  .  .  .  . 1  1 .  .  . . ...... #> ARFGAP1          . .  .  .  1  .  . .  . .  1  . . ...... #> ARFGAP2          . .  1  .  1  .  1 .  . .  2  . . ...... #> ARFGAP3          . 1  .  .  .  .  . .  . .  .  . . ...... #> ARFGEF1          1 .  .  .  .  .  . .  . .  .  1 1 ...... #> ARFGEF2          . 1  .  .  .  .  . .  . 1  .  . . ...... #> ARFGEF3          . .  .  .  .  .  . .  . .  .  . . ...... #> ARFIP1           . .  1  .  .  .  . .  . .  .  . 1 ...... #> ARFIP2           . 2  .  1  .  .  . .  . .  1  . . ...... #> ARFRP1           . 1  1  .  .  .  . .  . 1  1  . . ...... #> ARG1             . .  .  .  .  .  . .  . .  1  . . ...... #> ARG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ARGLU1           . 1  1  1  .  .  2 1  . 2  .  1 . ...... #> ARHGAP1          1 1  .  .  .  1  . .  . .  .  . . ...... #> ARHGAP10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11A        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11B        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP12         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP17         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP18         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19-SLIT1   . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP20         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP21         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP22         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP23         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP24         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP26         . .  1  .  .  .  . .  . .  .  . . ...... #> ARHGAP27         . .  .  .  .  .  . .  . .  1  . . ...... #> ARHGAP28         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP29         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP31         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP32         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP33         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP35         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP36         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP39         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP4          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP42         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP44         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP5          . .  3  1  .  .  1 .  . 1  .  . . ...... #> ARHGAP6          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP8          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP9          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIA          2 5  1  .  1  .  1 3  1 2  4  1 4 ...... #> ARHGDIB          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIG          1 .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF1          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10L        . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGEF11         1 1  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF12         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF15         . .  .  .  .  .  1 .  . .  .  . . ...... #> ARHGEF16         . .  .  1  1  .  . .  . .  2  . . ...... #> ARHGEF17         . .  .  .  .  .  1 .  . .  .  . . ...... #>  #>  .............................. #>  ........suppressing 948 columns and 11697 rows in show(); maybe adjust 'options(max.print= *, width = *)' #>  .............................. #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                      #> UBR3          1 .  . .  . . .  1 1  1 .  .  .  1  .  .  . . . . . 1 1 . . . . 1  .  . .  .  . . . . . .  1 2 . 1 .  . . 1  .  1 .  . #> UBR4          . .  . .  1 . .  . 1  . .  .  .  1  .  .  . . . . . 1 1 1 . . . .  .  . .  .  . . . . . 1  2 . 1 . .  . . .  .  . .  . #> UBR5          1 .  . 1  1 1 .  1 .  . 2  .  .  1  .  .  . 1 . 1 1 . . . . . . 1  .  . .  .  . . . . . 3  1 . . 2 .  . . .  .  . .  . #> UBR7          . .  1 .  . . 1  1 .  1 1  .  1  .  .  1  . . . . . . . . . 1 . 1  .  . .  1  . . . . . .  . . . 1 .  . . .  .  . .  1 #> UBTD1         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . 1 .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTD2         1 .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTF          . .  1 .  1 . 1  . .  . 1  1  .  .  .  .  . . 1 1 . . 1 . . . . .  .  . 1  2  . 1 . . . 1  . 4 3 . .  . . 2  .  . .  . #> UBXN1         . 3  2 2  3 . 1  3 .  . 2  3  1  .  1  4  2 1 1 2 1 1 1 1 3 1 1 2  2  1 2  1  5 3 3 2 1 3  3 . 3 2 1  2 1 3  5  1 1  5 #> UBXN10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN11        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  1 . . . .  . . .  .  . .  . #> UBXN2A        . 1  . .  . . .  . .  . 1  .  .  1  2  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  1 . 1  .  . .  . #> UBXN2B        . .  1 .  . . 1  . .  . .  1  .  1  .  2  1 . . . . . . . . 1 . .  1  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UBXN4         2 3  3 3  3 . .  3 1  1 4  2  2  5  2  3  6 . . 3 4 5 . 4 1 1 . 2  3  2 1  .  1 . 2 5 1 .  2 1 . 3 2  . 2 1  5  1 .  2 #> UBXN6         . 2  . 1  1 . 2  . 1  . .  3  .  1  .  .  1 . . . 2 . 1 2 1 . . .  2  2 .  1  2 . 4 . . 2  . 2 . 1 .  1 1 .  .  . 1  1 #> UBXN7         1 .  . 1  . . .  1 .  . .  .  .  .  .  .  1 . . 1 . . . . . . . .  1  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN8         . .  . .  1 1 .  1 .  . .  .  .  .  .  .  . 2 . . . . . . . . . .  .  1 .  .  . . 1 1 . .  . . 1 . .  . . .  .  . 1  1 #> UCHL1         . .  . 1  . . 1  . .  1 .  .  .  3  .  .  . 1 . 2 1 . 1 3 . . . .  .  . .  .  2 . . . . .  1 1 . . .  1 . .  .  . .  . #> UCHL3         . .  3 .  3 . 2  1 .  . .  .  1  .  .  .  . . . 1 2 . . . 1 1 . .  .  2 .  2  . . . 2 . .  . . 1 . .  1 1 .  2  1 1  . #> UCHL5         2 .  . .  1 . .  . .  . .  .  .  .  .  1  . . 1 2 1 1 2 . . . . .  .  1 .  .  1 . . . . .  1 . . 1 1  . . .  .  . .  . #> UCK1          . .  . .  1 . .  . .  . .  1  .  .  1  .  2 . . . . . 1 . . . 1 1  1  . .  .  . . . . . .  1 . . . .  . . 1  .  1 .  . #> UCK2          . 2  2 .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  1 .  .  . . . . 1 1  . . . . .  . . .  .  . .  . #> UCKL1         1 .  1 .  . . .  . .  . .  1  .  .  .  1  1 . 1 . . . . . . . . 2  .  1 .  .  . 1 . 2 . .  . . . . .  . . .  2  . .  . #> UCN3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . .  .  . . . . . .  1 1 . . .  . . .  .  . .  . #> UCP2          1 1  . 2  . 1 1  3 1  2 1  2  .  1  .  1  . 1 . . 1 . 1 . . 1 4 3  1  . .  1  . 3 2 1 . .  3 1 . 3 2  . . 1  1  2 1  1 #> UEVLD         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> UFC1          4 .  . 2  3 4 1  3 .  . .  1  1  .  2  4  3 . 2 . 3 2 2 5 . 1 . .  2  6 1  2  . 1 . 2 . 1  4 4 1 2 .  . 2 2  .  1 .  3 #> UFL1          . .  . .  . . .  . 2  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . 1  .  . . . . . 1  . 1 . 1 .  . 1 .  .  . 1  . #> UFM1          2 1  1 1  . 1 .  3 .  2 1  2  1  .  .  1  2 . . 1 . 4 2 3 . 1 . 1  2  2 2  .  1 . . 3 . 1  2 2 . . .  1 . .  1  . 1  . #> UFSP1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  1  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UFSP2         . .  . .  1 . .  . .  . 1  .  .  2  .  .  1 . 1 . 1 . 1 . 1 . . .  .  1 .  .  . . 1 . . .  1 1 . . .  . . .  1  . 1  . #> UGCG          . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGDH          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . 1 . 1 . . . . . . 1  .  1 1  .  . . . . . 1  . . . . .  . . 1  .  . .  . #> UGGT1         . .  . .  1 1 .  . .  . .  .  1  .  .  2  . . . . . 3 . . . . . 1  .  . .  .  . . . . . .  1 2 . . .  . . .  .  . .  . #> UGGT2         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  1 . . . . .  . . 1 . .  . . .  .  . .  . #> UGP2          2 .  1 .  2 1 .  1 2  . 1  .  .  2  .  2  . . . 1 . . 1 . 1 1 . 1  2  . .  1  . . 2 . . .  1 1 . . .  . . 1  .  . .  . #> UGT1A6        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGT8          . .  1 .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UHMK1         . .  . 1  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UHRF1         1 .  . .  . . .  . .  . .  1  .  .  .  3  . . 1 . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  1 #> UHRF1BP1      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> UHRF1BP1L     . .  . .  . 1 .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  1 . . . .  1 . .  .  . .  . #> UHRF2         1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . 1 . .  . . .  .  1 .  . #> UIMC1         . .  . .  . . .  2 .  . 1  .  .  .  .  .  . . . 1 . . . . . . . 1  1  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ULK1          . .  . 1  . 1 .  . .  . .  .  .  1  .  .  . . . . . 1 . . 1 . 1 .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  1 #> ULK2          . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  1  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ULK3          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ULK4          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> UMODL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UMPS          1 .  1 .  . . .  . 3  . 1  .  .  .  .  2  1 . 2 1 . 2 . . . . . 1  2  . 3  .  1 3 1 1 1 1  . 1 . . .  . . .  .  . 1  . #> UNC119        . .  3 .  . . .  1 1  . .  .  .  .  1  2  . . . . . 1 . . . . 1 1  .  1 1  .  . . . . . .  1 . . 2 .  . . .  .  . 1  . #> UNC119B       . .  . .  . . 1  . 1  . .  1  .  .  .  .  . . . . . . . . 1 2 . .  .  . .  .  . . . . . .  . . . . .  . . .  1  1 .  . #> UNC13A        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13B        . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  1 . . . . .  . . . . .  1 . .  .  . .  . #> UNC13C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13D        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC45A        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> UNC50         1 1  1 2  . 2 .  1 .  2 1  .  .  1  2  .  2 . . . 2 . 1 1 . 1 . .  2  2 1  3  . . 1 3 . .  1 2 . . .  . 2 1  .  . 3  1 #> UNC5A         . .  . .  . . .  . 1  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5B         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5C         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> UNC5D         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC79         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC80         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> UNC93B1       . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . 1  .  . .  1 #> UNG           . .  1 .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNK           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> UNKL          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> UPB1          . .  . .  . . .  . 1  1 .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  1 .  .  . . . . . .  1 . . . .  . 1 .  1  . 1  . #> UPF1          . .  1 .  . . .  . .  . .  .  .  .  .  1  . 1 1 . . . . 1 . . . .  1  . .  1  1 . . 2 . .  . . . . .  . . .  .  1 .  1 #> UPF2          . 1  . 1  1 . .  . .  2 .  .  .  .  .  1  . . . 1 . . 2 . . . . 1  .  1 .  .  . . . 1 . 1  . . 1 . .  . . 1  .  . .  . #> UPF3A         . 2  . .  1 . 1  1 .  . .  .  1  .  1  2  1 1 1 . . . . 1 . . . .  .  . .  1  . . . 1 1 .  . . . 1 .  . 1 .  .  . 1  3 #> UPF3B         . .  1 1  1 . .  1 1  . .  .  .  2  .  2  . . . . . . . . . . 2 .  1  . 3  .  2 . . 1 . .  1 1 . . .  1 . 2  1  . .  . #> UPK1A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK1B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3A         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3BL1       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPK3BL2       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPP1          . 2  . .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 2 . . 2 . .  2  2 .  .  . . 2 . 4 .  . . . . .  . 1 .  .  . 1  . #> UPP2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPRT          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UQCC1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 1  . . .  .  . .  . #> UQCC2         1 1  2 .  . 1 1  6 2  1 1  .  3  4  1  2  4 2 . 2 2 1 5 3 1 2 1 1  7  6 .  .  1 1 3 2 1 1  5 3 1 . 4  . 2 2  5  . .  6 #> UQCC3         1 .  1 2  . 1 3  . 2  . .  1  1  1  1  1  1 . 2 . 2 . . 3 . . 3 2  3  1 1  1  3 . 1 1 1 .  1 1 1 2 1  1 . 1  1  1 .  . #> UQCR10        9 3  4 1  3 1 4  9 1  3 1  1  3  4  4  6  4 5 1 3 3 7 1 3 2 3 1 2  6  5 4  2  1 2 4 1 3 1  7 2 5 3 1  2 4 5  2  2 5  6 #> UQCR11        1 1  5 5  4 4 1  6 1  . 2  .  1 12  2  3  7 2 3 4 1 5 1 7 1 2 2 3  6  3 3  2  3 2 5 4 . 1  6 4 2 4 1  1 . 1  3  6 2  4 #> UQCRB        12 3 12 2  6 5 3 11 5  2 3  1  6 11  1  7  9 3 4 7 2 5 5 9 2 3 4 3  6  8 4  5  3 3 7 9 2 6 11 9 6 6 4  2 . 3  2  2 4 11 #> UQCRC1        6 1  9 1  3 3 3  6 3  1 1  5  2  2  4  4  6 . 2 . 2 4 2 3 2 . 2 4  5  5 1  .  2 . . 1 3 .  2 2 1 1 3  1 . 2  3  5 2  4 #> UQCRC2        1 2  7 1  2 1 1  5 .  1 1  4  3  1  4  3  2 1 1 2 2 1 1 1 3 2 5 .  2  3 3  4  2 2 1 5 4 2  5 1 2 2 1  1 1 1  1  . 5  4 #> UQCRFS1       7 1  6 1  6 3 2  2 1  3 1  3  2  .  3  3  4 2 2 3 3 4 3 1 5 1 3 6  5  2 3  6  . 1 4 1 2 3  3 4 3 4 1  4 . 4  2  4 2  3 #> UQCRH         5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRHL        5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRQ         2 .  2 1  2 . 1  4 2  . 1  .  .  3  1  3  3 . 1 2 4 5 2 6 . . 1 .  2  1 2  1  4 2 . 2 2 5  1 3 3 1 2  1 2 .  3  . 1  2 #> URB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URB2          . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URGCP         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URI1          1 .  . .  1 1 .  . 2  . .  .  .  .  3  1  . . . 2 1 . . . 2 . . .  .  . .  .  . . . . . 1  . . 1 . 1  . . .  .  1 .  1 #> URM1          2 .  1 .  . 1 1  2 .  . .  .  .  1  .  1  . 1 1 . . 2 . . . 1 . .  .  1 .  .  2 . . . . .  1 3 . 1 .  . . 1  .  1 .  . #> UROD          . 1  . .  3 . 2  1 1  . .  .  .  1  .  .  . . 1 . . . . 1 1 1 1 .  2  1 1  .  1 . . . . .  . 1 . . .  . . 1  2  1 2  . #> UROS          . .  1 .  . . 1  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 . .  2 1 . . .  . . 1  .  1 .  1 #> USB1          . .  1 1  2 . .  . .  1 .  .  .  1  .  .  . 2 . . . . . 1 . 1 . .  .  . 1  .  . . 1 . 1 1  . 1 . 1 1  . . .  .  . .  . #> USE1          2 3  1 3  4 . 2  2 .  2 4  3  1  1  1  4  1 1 1 1 . 2 2 7 . 2 . 2  2  2 2  1  2 1 7 1 2 1  2 4 2 4 1  1 3 1  3  1 2  1 #> USF1          . .  1 .  . . .  1 .  1 .  .  .  .  2  1  . 3 . 1 . . . . 1 1 1 1  .  . .  1  . . . . 1 .  . . . . .  . . .  .  . .  1 #> USF2          . 3  3 .  . . .  1 .  2 .  2  .  1  .  1  4 1 1 . 1 1 1 . . . . .  1  1 1  1  4 1 . 2 . 1  3 2 . 1 .  1 2 1  .  . .  2 #> USF3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . 1  . #> USH1C         . .  . .  . . .  3 .  . .  1  .  .  .  .  1 . . . . . . 1 . . . 2  .  . .  .  . 1 1 2 . .  5 . 2 . .  2 3 1  .  . 1  . #> USH1G         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USH2A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USHBP1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USO1          . .  . .  1 . .  1 .  2 .  .  .  .  .  .  . . . . 1 . . . . . 2 .  2  1 1  .  . . . . . .  2 2 1 1 .  . . .  .  . .  1 #> USP1          . 1  1 .  . . .  1 .  1 .  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . .  .  . . . . . 2  . . 1 . .  1 . .  .  . .  . #> USP10         1 .  3 .  . . .  . .  . .  1  .  .  2  1  . . 1 . . . . . . . . .  .  1 3  1  . . . . . .  . . . . .  . . .  .  . .  1 #> USP11         1 .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . 1 . . . . . . .  .  2 .  .  . . 1 . . .  . . . 1 .  . . .  .  1 .  . #> USP12         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP13         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP14         . .  3 2  1 . 1  2 .  . 1  .  1  .  1  .  . . 1 . . . . 1 . . . 1  .  2 .  .  . 1 . . . .  1 . . . .  . . 1  2  . .  . #> USP15         . .  . .  . . .  . 1  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> USP16         . .  . .  . . .  1 .  . .  1  .  .  .  1  . . 1 1 . . 1 . 1 . . .  2  . .  .  . . . . . .  3 . . 1 .  . . .  .  . .  . #> USP18         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP19         3 .  . .  . . 2  2 .  1 .  .  1  .  .  .  . . 2 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> USP2          . .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP20         . .  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> USP21         . .  . .  . . .  . .  . .  .  1  .  .  1  1 . . . . . . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> USP22         . .  1 .  . . .  . 1  . .  .  .  1  .  .  2 . . . . . . 1 2 . . .  2  . .  .  . . . . . 1  . . . . .  2 . .  .  1 .  . #> USP24         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> USP27X        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 2 . . . .  . . . . .  . . .  .  . .  . #> USP28         . .  2 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> USP29         . 1  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> USP3          . .  1 .  . . .  . 1  . 1  .  .  .  .  1  . 2 . 1 . 1 . . . . . .  1  1 .  1  . . . . . 1  1 . . . .  . . .  1  1 .  1 #> USP30         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  1  1 .  . #> USP31         . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP32         . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP33         . .  . .  . . .  1 1  . 1  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  2 . 1 . . .  2 . . . 1  . 1 .  .  . .  . #> USP34         1 .  3 1  . . 2  . 1  . 1  .  2  .  1  .  . . . . 1 . 2 . 1 . 1 2  .  . .  .  3 . . 1 . 2  4 3 . 1 2  1 . 1  .  1 .  . #> USP35         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP36         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  2  . .  . #> USP37         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . 1  . #> USP38         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> USP39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . 1 .  .  . .  . #> USP4          1 .  . .  1 . 1  . .  . .  .  2  .  .  .  . . . 1 . . . 2 . . 1 1  .  1 .  .  . . . . . .  . . . . 1  . . .  1  . .  1 #> USP40         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  2 .  . #> USP41         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP42         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  1 #> USP43         . .  . .  . 1 .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> USP46         . .  1 .  . . .  . .  1 .  .  .  .  1  .  . . 1 . . . . . . 1 2 .  1  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> USP47         . .  . .  . . .  . 2  . .  .  .  1  1  .  . . . 1 . . . . . . . 1  1  1 1  .  1 . . 1 . .  . . . . .  . . 1  .  . .  . #> USP48         . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . 1  1 . . . 1  . . .  .  . .  1 #> USP49         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP5          1 .  . .  2 1 .  . 1  . .  .  .  1  1  1  1 . . . 1 2 1 . 1 . . .  .  . 1  .  . . . . . .  3 . . . .  . . .  .  2 .  1 #> USP50         . .  1 .  . 1 1  1 .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . 1  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> USP51         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> USP53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP54         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> USP6          . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP6NL        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP7          1 .  . .  . . 1  . .  . .  .  .  .  .  .  . . 1 1 . . . . . . . .  1  . .  1  . . . 1 . .  . 1 . . .  . . 1  1  . .  . #> USP8          . .  . .  . 1 1  . 1  1 .  .  .  .  2  .  1 . . . . . . 1 . . 1 .  .  . 1  .  . . . . . .  1 . . . 1  1 . .  .  . .  . #> USP9X         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . 1  . #> USPL1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> UTP14A        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP14C        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP15         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP18         1 .  . 1  . . 1  1 .  1 .  .  .  .  .  .  1 1 1 . . . . . . . 1 2  2  1 .  .  . 1 . . . .  . 2 . . .  . . 1  .  . 1  . #> UTP20         1 .  . .  . . .  . 1  . .  .  .  .  .  2  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP23         . .  2 .  . 1 .  . .  . .  1  .  .  2  1  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UTP3          1 .  . 1  1 . 3  1 .  . .  4  .  1  1  3  1 . . . . 1 1 . 2 1 . .  1  . 2  1  . . . . 1 1  2 . 1 1 2  . 1 2  .  2 .  1 #> UTP6          . .  . 1  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UTRN          . .  1 .  . . .  . .  . .  .  .  1  .  .  1 . . 1 . . . . . . 1 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> UTY           . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVRAG         . .  . .  . 1 .  . .  . .  .  .  2  .  .  . . . . . 1 . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVSSA         . .  . .  . . .  . .  . .  .  .  .  1  2  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> UXS1          1 .  . .  . . .  . .  . .  .  .  .  .  2  . . . . 1 . 1 . 1 . . .  .  . .  .  1 . . . . .  1 . . 2 .  . . .  .  . .  . #> UXT           . .  2 .  . . .  . .  1 2  .  .  .  .  .  1 . . . . . . 1 . 1 1 .  .  . .  .  . . 1 2 1 1  2 . . . .  . . .  .  . .  . #> VAC14         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VAMP2         . 1  . .  . 1 .  . 2  2 1  1  .  .  .  1  . . . 3 . 1 2 3 1 1 2 .  2  . .  1  2 1 2 . . .  2 . . 1 1  . 1 3  1  . .  1 #> VAMP3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VAMP4         . .  1 .  . . .  . .  . .  .  .  .  .  .  2 . . . 1 . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VAMP5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP8         4 .  3 1  . 4 2  . 4  1 4  2  4  .  7  4  . . 3 1 2 2 . 1 1 1 2 3  4  1 4  3  1 . 1 3 2 8  1 5 3 . 1  . 1 1  4  4 4  6 #> VANGL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 2  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> VANGL2        . 1  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . . . 1  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> VAPA          6 2  4 2  3 1 1  5 3  3 2  .  .  3  3  3  2 2 3 2 . 3 . 4 1 . 2 .  5  1 .  .  2 1 2 3 1 2  4 2 . 1 .  1 1 3  3  3 1  2 #> VAPB          2 2  2 2  . . .  1 1  1 .  .  .  .  2  .  . . 1 . 1 2 3 1 1 3 1 .  1  . .  1  1 1 . 2 1 2  1 . 5 . 1  . 1 .  .  . 1  1 #> VARS1         . .  4 .  . . .  . .  2 .  .  .  .  1  1  . . 1 . . . 1 . . . . .  .  . .  .  1 . . 1 2 2  1 1 . . .  . . .  1  . .  3 #> VARS2         . .  1 .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASP          1 2  2 .  1 1 .  3 .  1 6  3  2  2  1  2  . 2 1 2 2 . . 1 8 4 2 3  3  . 2  3  5 1 1 1 2 1  1 2 . 3 2  1 1 2  .  1 1  3 #> VAT1          1 .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 1  .  . 1 . 1 . 1  . . . . .  . . .  .  1 .  1 #> VAT1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  .  . .  .  . . 1 . . .  1 . . . .  1 . .  .  . .  . #> VAV1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VBP1          1 3  2 .  1 1 .  . 3  1 3  1  1  2  1  1  1 . 1 3 2 1 4 2 2 3 . .  3  3 .  2  1 3 1 1 . 1  4 1 3 1 4  3 . 2  1  2 2  2 #> VCAM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCAN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCL           . .  . .  . 1 .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCP           3 2  3 3  4 2 2  3 .  1 2  5  3  2  1  4  5 4 . 2 1 8 2 6 6 1 3 2  3  3 1  4  3 3 1 8 4 4  9 3 1 1 3  1 2 1  3  3 1  3 #> VCPIP1        . .  . .  . . .  . .  1 1  .  .  .  .  .  . 1 1 . . 1 . . . . . .  2  1 .  .  . . . . . .  . . 1 . 1  . . 1  .  . .  1 #> VCPKMT        2 .  . 1  . . .  2 .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VDAC1         4 1  5 2  2 2 .  2 2  4 1  .  1  .  2  5  3 . 1 1 2 . . . 1 1 1 1  1  1 .  .  1 2 . 2 . 3  . . 3 3 1  1 1 4  2  2 1  4 #> VDAC2         3 2  7 3  4 . .  6 1  3 3  2  3  5  2  5  6 1 3 2 4 1 2 . 1 2 1 2  5  4 2  5  4 1 2 4 2 1  7 3 5 6 1  1 1 1  3  4 .  2 #> VDAC3         4 2  8 .  2 2 2  4 1  4 2  2  2  4  3  6  1 3 1 2 1 2 2 5 1 4 3 1  3  4 2  2  3 2 2 3 1 2  2 . 1 2 2  2 . 2  1  1 4  3 #> VDR           . 2  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . 3 . . . . . .  1  . .  .  2 . . . . .  . . 1 . .  1 1 .  .  . .  . #> VEGFA         1 .  1 .  . 2 .  . .  . .  .  1  .  .  1  . . . . . 1 . 1 . . . .  .  . .  .  . . . . . .  1 1 . 1 .  . . .  .  . .  . #> VEGFB         . .  . .  . 1 .  . .  . .  .  .  1  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> VEGFC         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEPH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEZF1         . .  2 1  . 1 .  . .  . .  .  .  1  1  2  . . . . . . . 2 . . . 1  .  . .  1  . 1 . . . .  1 . . 1 .  1 . 1  1  1 .  . #> VEZT          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGF           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> VGLL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL4         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . 2 .  .  . .  .  . . . . . 2  . . . 2 .  1 . 1  .  2 .  . #> VHL           . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VHLL          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIL1          . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . . . . 3 1 . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> VILL          1 .  2 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIM           4 . 12 .  5 6 .  1 .  5 .  .  .  . 16 14  . . 2 . . . . . . . 7 1  .  . 4  2  1 2 . . . 6  . . 3 7 .  . . 1  2  2 2  8 #> VIPAS39       . .  . 2  . 1 .  1 .  . .  .  .  .  .  .  . 2 . . 1 . . . . . . .  .  . 1  2  . . 2 . 2 .  1 . . 1 .  . . .  1  1 .  . #> VIPR1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIPR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1L1      . .  1 .  . . .  . .  . .  .  .  .  1  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> VLDLR         . .  . .  . . 1  . .  1 .  .  .  .  .  .  . 1 . . . . . 1 . . . .  .  . 1  .  1 . . . 1 .  . . . . .  . . .  .  2 .  . #> VMA21         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VMAC          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . 1 . 4 . . . .  1  . .  .  . . 1 2 . 1  . 1 . . .  . . .  .  . .  1 #> VMP1          1 .  1 1  1 . 1  . .  . .  .  1  .  1  4  . . 2 . . 1 . . . . 2 2  .  1 .  2  . . . . . 1  . . . . 4  . . .  .  1 .  2 #> VN1R5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VNN1          3 .  . .  . 1 .  . .  . .  .  .  .  1  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> VOPP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPREB1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> VPS11         . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  1 1 . . .  1 . .  .  . .  . #> VPS13A        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VPS13C        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13D        . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS16         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  1 .  .  . . . 1 . .  . . . . .  . 1 .  .  . .  . #> VPS18         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS25         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS26A        . 1  . .  1 1 .  . .  . .  .  1  .  .  2  . . 1 . 1 . . . 1 . . .  1  . .  .  1 . 1 . . .  . . . . .  . . .  .  . .  2 #> VPS26B        . .  1 .  . . .  . .  . .  1  .  .  1  .  . . . . . 1 3 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS29         2 .  1 2  1 1 1  1 1  1 2  1  1  .  1  1  4 . 1 3 . . . 1 2 . 2 1  .  1 1  .  2 . 1 4 2 1  1 1 . . .  . 1 2  3  1 3  . #> VPS33A        . .  . .  1 . .  3 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS33B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS35         . 1  1 1  . . 1  6 7  1 3  1  .  .  .  .  . 1 . 1 . 1 . 1 2 1 . 2  4  . 1  .  1 1 . . . .  3 2 1 . .  . 2 1  .  . .  2 #> VPS36         2 .  4 1  . . 1  . .  1 .  1  1  1  1  1  1 . . . . 2 . . . . 3 .  .  2 1  .  1 1 . 1 . .  2 . . 3 .  . 3 1  .  . .  2 #> VPS37A        . 3  . 1  . . .  1 .  . .  .  1  .  1  .  . 1 . 2 . . 4 . 1 . . 1  1  1 .  1  1 1 . . . .  1 1 2 . 3  . 1 .  2  2 1  . #> VPS37B        3 .  1 .  . 1 .  . .  . .  3  1  1  .  .  . 2 1 . . . 1 1 . 1 . .  .  . 1  .  . . . . 1 .  1 . . . .  . . 1  .  . 1  1 #> VPS37C        . .  . .  . . .  . .  . .  .  .  .  .  1  . 1 . . . . . . . . 1 .  .  . .  .  . . . 2 . .  . . . . .  . . .  .  . .  . #> VPS37D        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> VPS41         . .  . .  . 1 1  . 1  . 1  .  .  .  1  .  1 . . . . . . . . . . .  1  1 1  1  1 1 1 1 . 1  . 1 . . .  . . .  1  2 .  1 #> VPS45         . .  1 .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . 1  . #> VPS4A         2 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  1 .  .  . . . 1 . 1  . . . 2 .  . . 1  .  . .  . #> VPS4B         . .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS50         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  1  . .  . #> VPS51         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> VPS52         . .  1 .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . 1 . 1 . .  . . . . .  . . .  1  . .  . #> VPS53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS54         . .  . .  1 . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS72         . 2  1 4  2 2 2  1 2  1 .  1  1  2  1  3  . . 2 2 2 2 . 1 1 . 1 1  .  1 3  2  2 1 2 . 1 .  3 1 . . .  1 1 .  1  . 1  2 #> VPS8          . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 1 . 2 . . . .  1  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> VPS9D1        . .  . .  1 . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  1 #> VRK1          . .  2 .  . 1 .  1 .  . .  .  1  .  2  1  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . 1 .  1 . .  .  . .  1 #> VRK2          . .  1 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VRK3          . .  2 .  1 2 .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . 1 . 1 . .  . . . 1 .  . 1 .  .  . 1  . #> VSIG1         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10L       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIR          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSNL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2L        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VTA1          1 2  . 1  1 . 1  2 .  . .  .  .  2  1  2  1 . . . 1 . . . . . . 1  2  . 1  2  2 . 1 . . .  2 . 1 . .  . 1 1  2  1 .  1 #> VTCN1         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1A         . .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1B         1 1  1 .  2 . 2  2 1  . .  3  1  .  1  2  . . . 1 1 . . . . 1 . .  2  . .  .  . . 1 3 2 .  4 . 1 1 .  . . .  .  . 1  1 #> VTN           . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> VWA1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 3 . . . .  . . . . .  . . .  .  . .  . #> VWA2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5A         . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . 1  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> VWA5B1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5B2        . 1  . 1  . . 1  1 .  2 2  1  2  .  .  .  . 2 . 1 . 3 . . 3 1 . .  1  1 .  .  1 1 . . 1 .  1 . 1 . 1  4 1 3  .  . .  . #> VWA8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWC2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWCE          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAC           . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAPL          2 1  1 1  2 1 1  . .  . .  .  .  1  .  1  1 . 2 1 . . 1 . . . . 3  .  . 2  1  3 1 . . . 2  2 . 2 1 .  1 . .  1  1 .  2 #> WARS1         . .  1 .  . . 1  2 3  1 .  .  .  .  .  1  1 . . 1 . . . . . . . .  .  1 .  1  1 . . 1 . .  . 3 . . .  . 1 .  .  . .  . #> WARS2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASF1         . 1  . .  . . .  . .  . .  .  1  1  .  1  . . . . . 1 . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . 2  .  . .  . #> WASF2         1 .  . .  . 1 2  . .  1 .  .  1  2  1  1  . . . . . 1 . . 2 . . .  .  1 .  .  . 1 . 1 . .  . . . . .  1 . .  .  1 .  . #> WASF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASL          . .  1 .  . . .  . .  . 1  .  1  1  .  1  . 1 . 2 2 . 1 . 1 . . .  1  1 1  2  . 1 1 1 . 1  1 . . 1 .  . 1 .  .  . .  1 #> WBP1          1 .  2 1  . 1 1  2 .  . .  .  .  .  1  2  . 1 1 . . 1 . 2 . 1 3 .  1  . .  1  1 . . 2 1 2  . 1 . 2 3  . . .  1  5 .  1 #> WBP1L         . .  1 1  . 1 .  . 1  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  1 .  .  1 . . . . 1  . . . . .  . . .  1  . .  1 #> WBP2          1 .  3 4  1 . 1  . .  . .  .  .  1  .  .  2 1 1 . . . 1 . 2 1 1 2  .  1 1  2  . . . 2 2 .  1 1 . . .  3 1 .  .  1 .  1 #> WBP4          4 .  1 .  . . 1  1 .  . .  .  .  .  2  .  . . . . 1 1 4 1 . . 1 3  1  1 .  1  . . . . 3 .  1 . . 3 .  1 1 .  1  . .  . #> WDFY1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . 1  .  1 . . . . .  . . . 1 1  . . .  .  . .  . #> WDFY3         . 1  . .  . 1 .  . .  . .  .  .  .  1  .  . . . . 1 . . . 1 . 1 .  1  . 1  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> WDHD1         . .  1 .  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDPCP         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WDR1          . .  1 .  . 1 1  . 1  1 2  1  .  2  1  .  1 . . . 1 . . . 4 . 1 .  .  . .  .  2 2 . 2 . .  . 2 . 1 1  . . 1  1  . 1  1 #> WDR11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> WDR12         . .  . .  . . .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  1 #> WDR13         1 .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> WDR18         . .  2 .  1 1 .  1 .  . 1  .  1  1  .  1  1 1 . 1 1 . . . 2 . . 1  1  . .  .  . . . . . .  1 1 1 . .  . 1 .  .  1 2  2 #> WDR19         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR24         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR25         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR26         1 1  1 .  . . .  1 .  . .  .  .  1  .  1  . . . 1 . . . . . . 2 1  1  . .  .  . . 1 . . .  2 1 . . .  1 . .  .  . 1  1 #> WDR3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR31         1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR33         . .  . .  2 . .  . .  1 .  1  .  .  .  1  . . 1 1 . . 1 1 . . . .  1  . .  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR36         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR37         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR4          . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> WDR41         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 1 . . . 2 . . . . .  .  . 1  .  . . . 1 . .  . . . 1 1  1 . .  .  . .  . #> WDR43         1 1  . .  3 . .  . .  . 1  .  .  1  .  .  . . . . 2 2 1 . . . 1 .  .  . .  .  . . . 1 . .  . . . . .  . . 1  .  . .  . #> WDR44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45B        . 1  . .  . . .  1 1  1 1  .  1  .  .  1  . . . 1 . . 1 . 1 1 1 .  1  . .  .  . 1 2 1 . 1  1 . . . 1  . . 1  .  . .  2 #> WDR46         1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  2 1 . 1 . .  . . . . .  1 . 1  .  1 .  . #> WDR47         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> WDR48         . .  . .  1 . .  1 .  . .  .  .  .  .  .  1 . . 1 . 2 . . 1 . . .  .  2 .  .  1 . 1 . . .  . . 1 . .  . . .  .  . .  . #> WDR49         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5          . 1  . .  . . .  . 1  . .  .  .  1  2  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . 2  . #> WDR53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  .  . 1  . #> WDR54         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  1 .  . #> WDR55         . .  1 .  . 1 1  . .  . 2  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . 2  1  . . . . . .  1 . . . .  . . .  .  . .  1 #> WDR59         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR6          . 2  . 1  . 2 .  1 2  1 .  .  .  2  .  1  . 2 . 2 1 2 1 1 1 . 2 2  1  . 1  .  . . . 1 . .  5 1 . . 2  . . 1  1  1 1  . #> WDR61         . 1  1 .  2 . .  . 2  1 .  1  .  1  .  1  1 1 . 3 . . . . 2 1 3 .  1  . .  1  . . . 3 . 1  . . . . .  1 . 1  .  . 1  1 #> WDR62         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WDR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR70         . .  . .  1 . .  . .  . .  .  .  .  .  2  . . . . . . . . . . . .  .  . 1  .  . . . . 1 .  . . 1 . .  . . .  .  . .  . #> WDR72         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR73         . .  1 .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . . .  .  . 1  .  . . 1 . 2 .  . . . 1 .  . . .  1  . .  1 #> WDR74         . .  1 .  . 1 .  1 .  . .  1  .  .  .  .  . . . . . . . 1 1 1 . 1  .  . .  .  . . 1 . . .  . . . 1 .  . . 1  1  . .  . #> WDR75         1 .  2 .  . 1 .  . .  . .  2  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> WDR76         . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> WDR77         . 1  . .  . . .  . .  . .  .  .  .  .  1  1 . . . . 1 . . 1 1 . 1  1  . .  .  . . . . . .  1 . . . 1  . . 1  .  . .  . #> WDR81         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR82         1 .  . .  . . .  . .  . .  1  2  .  .  1  . . . . 1 . . . 1 . 1 .  .  . .  1  . . . . . 1  . . . . .  . . .  .  1 .  . #> WDR83         . 1  . .  1 . .  . .  . .  .  1  .  .  1  . 1 . 1 2 1 . . . 1 . .  2  . .  2  . . 1 1 1 .  2 . . . .  . 1 .  1  . .  . #> WDR83OS       2 1  3 3  1 1 1  1 2  2 1  1  .  1  3  .  1 2 . 1 1 1 2 1 . 1 . .  2  1 1  2  1 2 1 3 1 1  4 2 1 1 2  . . 1  1  3 .  1 #> WDR86         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR89         . .  2 2  . 3 .  . 1  1 1  .  1  1  1  .  . . . . 2 . 1 2 2 2 3 1  1  2 .  1  . . 1 1 . 4  1 3 . 3 2  1 1 1  1  4 .  2 #> WDR90         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR91         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR92         . .  . .  1 1 .  2 .  . .  .  1  .  .  .  . . . . . . . . . 1 . .  .  1 1  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR93         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDSUB1        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 1  .  . .  .  . . 1 . . .  . . . . .  . 1 1  2  . .  . #> WDTC1         . .  . .  . . 2  . .  . .  .  .  .  1  .  . . 1 1 . . . 1 . . . .  .  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> WEE1          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WEE2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC10A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC13        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC2        10 . 10 .  6 3 .  . .  . 1  .  .  .  5  7  . . 4 1 . . . . . . 8 .  .  1 4  3  . . 2 . 1 3  1 . . 1 4  1 . .  .  3 .  7 #> WFDC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN1       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN2       1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WFS1          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . 1 . 1 . .  1 1 . . .  . 1 1  .  . .  . #> WHAMM         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WHRN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIF1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> WIPF1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPF2         . .  . .  . . .  . .  . .  .  .  .  .  2  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  3 . . . .  . . .  .  . .  . #> WIPF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPI1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . 1 . . 2 . . . .  1  . .  .  . . . 1 . .  2 2 . . .  . . .  .  . .  . #> WIPI2         . 1  . .  . 1 1  . .  1 .  .  .  .  .  .  . . 1 2 . 1 . . 1 . . .  1  . .  .  . . . . 1 1  1 . 1 . .  . . 1  .  . .  . #> WIZ           2 .  . .  1 . .  1 .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> WLS           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNK1          . .  . .  . 1 .  . .  . .  .  .  .  .  .  1 . . . 1 . . . . 1 . 1  1  1 .  .  . . . 1 . 1  2 . . 1 .  . . 1  .  . 1  . #> WNK2          . .  . .  1 . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 1 .  . . . . .  1 . .  .  . .  . #> WNK3          . .  1 .  . . .  . .  . .  .  .  4  .  .  . . . . . . . . . . . 1  .  . .  .  . . 1 . . 1  . . . . .  . . .  .  . .  . #> WNK4          . 1  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> WNT10B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT3          . 1  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WNT4          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5B         . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT7B         2 .  3 .  1 . .  . .  . .  .  .  .  .  3  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  1 #> WNT9A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT9B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WRAP53        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WRAP73        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . 2 1 .  .  . 1  .  . . . 1 1 .  . . . 1 .  . . .  .  . .  . #> WRN           . .  . .  . . .  . .  . .  .  .  .  1  .  . 1 . . . . . . 1 . . .  .  1 .  1  . . . . . .  . . . . .  . . .  .  . .  . #> WRNIP1        . .  1 .  1 . 1  . .  . .  .  .  .  .  1  . . . 1 . . 1 . . . . .  1  1 .  .  . 1 . . . 1  . 1 . 1 .  . . .  .  . .  . #> WSB1          . .  2 .  1 . 2  . .  . .  .  .  .  .  .  . 1 1 . 1 . . . 1 . 3 1  .  . 1  .  . . 2 . . 1  . . . . .  . . .  .  2 .  . #> WSB2          . .  1 .  . . .  2 .  1 .  .  .  .  .  1  . . 1 . . 1 1 . . . . 1  1  . .  .  2 . . 1 . .  . 3 . . 1  . 1 .  .  . .  1 #> WSCD1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> WTAP          . 1  2 .  . . .  1 .  . .  .  1  1  .  .  . . 1 . . . . . . . . 1  .  . .  .  . . 1 . . .  . . . . 2  . . .  .  . .  . #> WTIP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> WWC1          1 .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 3 .  . . .  .  . .  1 #> WWC2          1 .  . .  . . .  . 1  . .  .  .  .  1  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WWOX          . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 1 . .  . . 1 . .  . 1 .  .  . .  . #> WWP1          . .  . 2  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . 1  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> WWP2          . .  1 .  . . .  . 1  . .  1  .  .  1  .  . . 1 . . . 1 . . . . .  .  . .  .  . . . . . .  1 . . . 2  . . .  2  . .  . #> WWTR1         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XAB2          . .  . .  . . 1  . 1  . .  1  .  .  1  .  . . . . . . 1 . . . . .  1  1 .  .  . . . . . 2  1 . 1 . .  . . .  .  . .  1 #> XAF1          . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> XBP1          1 .  2 .  . . .  3 .  1 .  .  2  .  .  .  . . . . 2 1 1 . . . . 2  1  . .  .  . 1 1 6 2 .  2 3 1 2 .  . . 1  .  . 2  1 #> XDH           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XIAP          . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  1  . .  .  . . . 1 . .  . . 1 1 .  . . .  .  . .  1 #> XK            . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> XKR5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR9          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPA           . .  2 .  . . .  2 .  . .  .  1  .  .  .  . 2 . 1 . . . . . . 1 .  .  . .  .  . 1 . . . .  3 . 1 . 1  . . .  .  . .  . #> XPC           . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> XPNPEP1       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> XPNPEP2       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPNPEP3       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  1  . .  . #> XPO1          . .  . .  . . 1  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  1  1 . . . 1 .  1 . . . .  . 1 .  1  . .  . #> XPO4          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO6          . .  1 .  . 1 .  . .  . .  .  2  1  .  .  . . . . . . . . . . . .  .  . .  .  1 1 . . . .  1 . 1 1 .  . . .  1  1 .  . #> XPO7          . .  1 .  1 1 .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . 1 .  .  1 1  1  . . . . . .  1 . . 1 .  . . .  .  1 1  . #> XPOT          1 1  . .  . . .  . .  . .  .  .  1  .  .  1 1 . . 1 1 . . . 1 . .  .  . 1  .  . . . . . .  . . . . .  . . 1  .  . .  . #> XPR1          . .  . .  . . .  2 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . 1  .  1 1 . . . .  1 . . . 1  . . .  .  1 .  . #> XRCC1         1 .  2 .  1 . .  1 .  . .  1  2  1  .  2  3 . 1 . . . . . . . 2 .  .  . .  .  . 2 1 . 1 .  . . 1 1 .  2 . 1  .  . .  1 #> XRCC2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> XRCC5         . .  . 1  1 1 .  1 .  . .  .  .  .  1  .  1 . . . . . 1 1 . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC6         2 .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . 1 . . . . 1 1  .  . .  .  . . . . . .  . 1 . 3 .  . . .  1  1 .  . #> XRN1          . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRN2          . .  2 .  . 3 2  . .  . .  .  .  .  .  1  . . . 3 1 1 1 . . 1 1 .  .  2 1  .  . . . 1 . 2  1 1 . . 3  . . 1  1  1 1  . #> XRRA1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XXYLT1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLB          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> XYLT1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLT2         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> YAE1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  . . 1 . 1 .  . 1 . . .  . . .  .  . .  . #> YAF2          . 3  1 .  1 . .  1 1  1 .  2  .  .  1  .  . . . 2 1 1 3 1 2 2 1 .  2  2 1  .  1 2 2 1 . 1  2 1 1 1 1  . . 1  2  . .  1 #> YAP1          1 .  1 .  . 1 .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> YARS1         . .  1 .  . . .  1 .  . .  .  .  .  .  1  1 . . 1 . . . 2 . 1 . .  .  . .  .  . . . . 1 .  . . . . 1  . . .  1  . .  . #> YARS2         1 .  1 .  1 . .  . .  . .  .  .  .  .  .  1 1 . . . 1 1 . . . . .  .  . 1  .  . . . . 1 .  . . . . .  . . .  .  . .  1 #> YBEY          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX2          . .  . .  . . .  . .  1 .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . 1 . .  2  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> YDJC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YEATS2        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 1 .  . . .  .  . .  . #> YEATS4        1 .  2 .  1 . .  1 2  . 1  1  1  .  .  1  1 . . 1 1 2 . . . . . .  1  3 .  1  1 1 . . 1 4  . . . 1 1  . . 1  .  . 2  2 #> YES1          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> YIF1A         1 1  1 .  1 1 2  . 1  . .  1  .  1  .  1  1 . . 1 . 1 . . 2 . 1 .  1  2 .  2  1 . 1 4 . 1  1 . . . .  1 1 .  .  . .  . #> YIF1B         1 .  1 .  . 2 .  2 .  . .  .  .  .  .  3  . . . . 1 1 1 2 1 . . .  1  1 .  .  . 1 . 1 . .  1 2 . . .  . . .  .  . 1  . #> YIPF1         . .  . .  1 . .  1 1  1 .  1  .  1  .  1  1 1 . . . . . 2 . . . .  1  1 .  .  . . . . . .  . 2 . . .  1 . .  1  . .  . #> YIPF2         . .  . .  . 1 1  2 1  . 1  .  .  .  .  1  . . 1 . . 1 . 1 . . . 1  1  4 .  .  . . . . . 1  . . 2 . .  1 1 .  .  . 1  1 #> YIPF3         . .  . .  . 1 5  1 1  1 .  1  1  1  2  1  . 1 1 1 1 . . . 2 1 1 1  2  3 .  .  . 1 . 1 1 .  . . . 2 3  2 2 1  .  . .  . #> YIPF4         1 2  1 1  2 1 4  2 1  1 2  1  2  1  1  2  3 . . 5 1 3 2 2 3 . 3 .  .  3 .  7  3 1 2 2 . .  3 1 1 2 5  1 1 4  3  1 1  1 #> YIPF5         2 2  1 2  . 1 2  3 .  2 .  1  .  1  1  1  1 1 1 . . 1 1 3 . . 1 .  1  . .  1  2 1 1 . . 1  1 . . . .  1 3 .  1  . 1  1 #> YIPF6         . .  1 .  . . .  2 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> YKT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 2 . . . . .  .  1 1  1  1 . 1 . . .  . . . 1 .  . . .  .  1 1  1 #> YLPM1         . 1  1 .  . . .  . .  . .  .  1  .  2  1  . . . . . 1 . . . 1 . .  1  . 2  .  . . . . 2 .  . . . . 2  . . .  1  . .  . #> YME1L1        1 .  3 .  . . .  . .  1 .  3  .  .  .  .  1 1 1 . . . . . 1 . 1 .  1  1 .  1  . . . 1 . .  . . . . 1  . 2 .  .  . 1  . #> YOD1          . .  . .  . . .  1 .  . .  .  .  1  .  .  . . 1 . . 1 . . . . 1 .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> YPEL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL2         . .  . .  . . .  1 .  1 .  .  .  2  .  .  1 . . . . . . . 1 . . .  1  3 .  .  1 . . . . .  . . . . 2  . . .  .  1 .  1 #> YPEL3         . 6  . 2  . 1 3  3 1  5 4  2  5  1  2  .  1 8 . 4 5 2 5 . 8 1 . 3  7  4 .  2  3 3 2 1 5 .  2 1 4 . 6  1 1 4  3  4 2  1 #> YPEL4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL5         . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . 1 1 . . 1 1 1 . 1  .  1 .  .  . 1 . . . .  . . 1 . .  1 . .  .  . .  . #> YRDC          . 1  2 .  2 . .  1 .  1 .  .  .  1  .  1  5 . . . 1 1 . . . . 1 1  1  . .  .  1 2 2 . . 3  . . 2 1 1  2 1 .  1  . .  1 #> YTHDC1        . .  . 1  . . .  . .  . .  .  .  1  .  2  1 . . . . 2 . . . . . .  .  . .  2  1 . 1 . 1 1  . . . . .  2 . .  1  . 1  . #> YTHDC2        . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YTHDF1        . .  . .  1 . 1  . 1  1 .  .  2  .  .  1  1 . . . . 1 . 1 . . 1 .  .  . 1  1  . . . 1 1 .  1 1 . 2 .  . 1 .  .  1 .  . #> YTHDF2        . 2  3 1  1 . .  1 1  . .  .  4  2  1  2  . 1 . 1 . . . . . 1 1 .  .  1 1  1  3 . 1 2 . 1  2 . 1 . .  2 2 1  1  . .  1 #> YTHDF3        . .  . .  1 1 .  . .  . .  1  .  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> YWHAB         3 1  4 2  1 1 1  1 5  2 1  1  1  3  .  2  3 1 1 3 1 2 3 2 4 1 . 2  1  3 4  2  1 1 2 1 2 1  1 4 . 3 .  2 . 2  .  3 2  4 #> YWHAE        10 4 11 5  6 7 2 11 5 10 4 11 10  7  9 14 12 6 3 9 4 5 7 7 5 8 5 5 10 14 4 10 12 8 2 9 6 7 18 6 5 6 5 10 1 7 11 12 4 14 #> YWHAG         . .  1 1  . . .  2 1  1 .  .  1  .  .  2  . . . . . . 1 1 1 2 . 2  1  . .  .  1 1 . 2 1 .  2 . . . 1  2 1 .  .  . .  . #> YWHAH         5 3  5 3  2 3 3  4 2  5 4  1  .  2  2  6  2 1 2 1 1 1 1 1 2 1 2 2  1  2 .  1  2 2 1 4 1 1  4 2 1 1 1  1 2 1  2  . 6  1 #> YWHAQ         9 6  6 4 12 4 1 15 6  3 3  3  9  9  3  8  2 6 4 1 1 6 3 7 1 4 4 .  7 10 8  5  2 5 5 5 3 7  4 5 4 7 3  2 3 5  5  2 2  8 #> YWHAZ         3 1  . 1  . . .  1 1  1 .  2  .  1  1  2  2 . . . 1 . 2 1 1 . . 4  2  1 2  3  . 1 1 1 . 1  1 . 1 . .  . . 1  2  . 2  2 #> YY1           . 1  1 .  . . .  . 1  3 1  .  .  .  1  1  . . . 1 . . 2 1 . . 1 2  1  1 .  1  3 2 1 2 . 1  1 1 1 1 1  . 1 .  1  1 .  1 #> YY1AP1        . .  1 .  . . .  4 .  . .  .  2  .  2  2  1 . . 1 . . . . . . . .  .  . .  .  . . . . 1 .  1 . . 1 1  1 . .  .  . .  . #> Z82190.2      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> Z83844.1      . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> Z84488.1      . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZADH2         . .  1 1  . . .  . 1  . .  .  .  2  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZAP70         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBED3         . .  1 .  . 2 .  . 2  . .  1  .  .  .  .  . . 1 . 1 . 1 . 1 . 1 .  .  1 .  .  1 . . . . .  . 2 . . .  1 . 1  .  1 2  . #> ZBED4         . .  1 .  . . .  . .  . .  .  1  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 1 .  . . 1  .  1 .  . #> ZBED9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZBP1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB1         . .  . .  . . 1  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 3 . .  . . . . .  . . .  1  . .  . #> ZBTB11        1 1  . .  . . .  1 .  . 1  .  2  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . 1 .  . . .  .  . .  1 #> ZBTB12        . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . . . . 1 . . . 1 .  .  . 1  .  . . . . . .  . . . 1 .  . . .  1  . .  . #> ZBTB14        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZBTB16        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB17        . .  1 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB18        . 1  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> ZBTB2         . .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB20        1 .  1 1  . 2 .  1 .  3 2  1  .  3  1  4  1 . 2 1 2 3 2 . 2 2 1 5  2 11 2  2  2 . . 6 . 4  3 2 3 1 .  2 3 5  6  1 2  . #> ZBTB21        . .  1 .  . . .  . .  . .  1  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB24        . .  . .  . . .  . .  . .  .  .  .  .  1  2 . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZBTB25        . .  . .  1 . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . 1 . .  . . .  1  . 1  1 #> ZBTB26        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB32        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB33        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> ZBTB34        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB37        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZBTB38        . .  2 .  . 1 .  . 1  . .  .  .  .  .  1  . . . . . . . . . . 1 .  1  . .  .  . . . . . 1  . . . . .  . . .  2  . 1  1 #> ZBTB39        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZBTB40        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB41        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZBTB42        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB43        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  1 . 1  .  1 .  . #> ZBTB44        . .  1 .  . . .  . .  1 .  .  .  1  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB45        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . . . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB46        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB47        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB48        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB49        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> ZBTB5         . .  1 .  . . .  . .  . .  .  .  1  .  1  . . . . . 1 . . . . . .  .  . 1  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZBTB6         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7B        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZBTB7C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB8A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . 1  . #> ZBTB8B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB8OS       1 .  . .  1 . .  . .  . .  1  .  1  .  .  . 1 . . . . 1 . . . . .  .  2 .  .  1 . . . . .  . . . . 1  1 . .  .  . .  . #> ZC2HC1A       . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> ZC2HC1C       . .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . 1 .  . 1 . . .  . . .  .  . .  . #> ZC3H10        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . . 1 . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12A       . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12C       . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H13        . .  1 .  2 . 2  . 1  1 .  .  .  1  1  .  . . . 1 2 . 1 . 1 . 2 .  .  . 1  .  . . 1 . . .  . 2 . . .  . . .  .  3 .  . #> ZC3H14        2 1  1 .  . 4 2  1 1  2 .  .  1  .  1  .  1 . 1 1 2 . . . 2 . . 2  1  1 .  .  2 . 2 1 . .  . 2 1 1 1  1 . 2  .  . 3  1 #> ZC3H15        1 1  . .  1 . 1  1 2  1 .  1  2  .  3  2  1 2 . . . . 1 . 1 3 . 1  .  2 .  1  2 . . . . 2  1 2 1 . 1  . . .  1  2 1  1 #> ZC3H18        2 .  . .  . . 1  . 1  . .  .  1  .  .  2  . 1 . . 1 . . 1 . . 2 1  .  . .  .  1 . . . . .  . . 1 . 2  . 1 .  .  . .  1 #> ZC3H3         . .  . .  . 1 1  2 .  . .  .  1  .  .  .  . . . . . . . 5 . 1 . .  .  . .  .  1 . . . . .  . 2 . . .  . . .  .  . .  . #> ZC3H4         2 .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> ZC3H6         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 1 1 . 1  . 1 1  .  . .  . #> ZC3H7A        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  1 .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H7B        . .  . .  1 . .  . 2  . .  .  .  3  .  1  . . . . . 3 . . 1 . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZC3H8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . 1 . . . .  . . . . .  1 . .  .  1 .  . #> ZC3HAV1       . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZC3HAV1L      . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3HC1        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . 2  .  . .  .  . . 1 . . 1  . 1 . . .  . . .  .  . .  1 #> ZC4H2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZCCHC10       1 1  . 1  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC12       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC14       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZCCHC17       1 .  2 1  . 1 .  1 1  1 1  .  1  2  2  3  1 . 1 . . . . 1 . 2 . 3  1  1 1  .  1 1 1 1 . 1  2 . . . .  1 2 .  1  . 1  . #> ZCCHC18       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZCCHC24       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC3        . .  1 3  . 1 .  2 1  . .  1  .  2  1  1  2 . . . . 2 . . . . 1 .  1  . .  1  . . 1 . . .  1 . . . .  . . .  .  . .  . #> ZCCHC4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC7        . .  . .  . 1 .  . .  . .  .  1  .  .  .  1 1 . . . . . . . . 2 .  .  . 1  .  . . . . 1 .  . . . . .  . . .  1  . .  1 #> ZCCHC8        1 1  1 .  . . .  . .  . .  .  .  .  1  1  1 . . . . 1 1 1 . . . 1  .  . .  .  . . . . . .  . . 1 . .  . . .  .  2 .  . #> ZCCHC9        . .  1 .  . . 1  2 .  . .  .  .  3  1  1  . . 2 . 1 . 1 . . . 1 .  1  1 .  1  . . . . . .  . 1 1 . .  . . .  .  . .  1 #> ZCRB1         4 .  6 3  1 2 .  3 1  . 1  1  .  2  1  4  3 . 1 1 2 2 1 1 2 3 3 3  5  8 1  .  . 1 1 1 . 2  4 2 1 2 2  . 1 4  2  2 3  1 #> ZCWPW1        . .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . . . . . . . 2 .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZDBF2         . .  . 1  . . .  1 1  . 1  .  1  3  .  1  2 . . 2 1 . 4 . 2 . . 2  1  1 .  .  . 2 . 2 . .  1 1 3 . .  1 1 2  .  . .  . #> ZDHHC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . .  1 #> ZDHHC12       1 .  . 2  . 2 .  1 .  . .  2  .  .  .  1  . 2 . . 1 1 . . . 1 1 .  2  2 .  1  . . 1 . . 1  . 1 . . .  1 . .  1  . .  . #> ZDHHC13       . .  2 1  . . 1  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC14       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZDHHC15       1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC16       . .  . .  2 2 .  . .  . .  1  .  .  .  2  . . . 1 . . . . . . . .  .  1 2  .  . . . . . 1  . 1 . . .  . . 1  .  1 .  1 #> ZDHHC17       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC20       . 1  . .  1 . .  1 1  2 1  1  .  .  1  .  . . 1 1 1 . 2 . . 1 . 3  .  . .  .  . 1 . . . .  1 . . . 1  . 1 .  .  . .  3 #> ZDHHC21       . .  . .  . 1 .  . .  . .  .  1  .  .  .  . . . . . . . . . . 1 .  1  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> ZDHHC23       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC24       . .  . .  1 . 1  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC3        . .  . .  . . .  . .  . 2  .  .  .  .  .  . 2 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC4        . .  . .  . . .  . .  . .  .  1  .  1  1  1 1 . . . 1 . . . . . .  .  . 1  .  . . . 1 1 .  . . . 2 .  . . .  .  . .  . #> ZDHHC5        1 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC6        . 2  . .  . . .  . .  . .  1  .  .  1  .  1 . 1 . . 1 . . 2 . 2 .  .  . .  .  1 . 1 2 1 .  2 . 1 . .  . . 1  .  . 1  . #> ZDHHC7        . .  . .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  1 .  . #> ZDHHC8        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC9        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 2 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZER1          . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZFAND1        1 .  . .  . . .  . 1  . .  .  .  .  2  .  1 . . 1 1 1 . . . . 1 .  .  . 2  1  . . . . . .  . . . . .  . . .  1  . .  . #> ZFAND2A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZFAND2B       . 1  . .  . . .  1 .  . .  2  .  .  .  .  . . . . . . . 1 . . . .  1  . .  .  1 . . . . .  2 . . . .  . . .  .  1 1  . #> ZFAND3        . 3  . .  2 . .  . .  . 1  1  .  .  1  1  . 1 1 2 1 1 2 . . . . .  .  . .  1  . 2 . . . .  2 . 1 . .  . . .  1  . 1  . #> ZFAND4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFAND5        . .  4 1  1 . 2  2 1  . .  4  1  2  1  .  1 1 1 . . . 1 2 . 2 1 .  1  . 1  3  . 1 . . 2 4  3 1 1 2 3  2 . .  2  2 .  4 #> ZFAND6        1 1  2 1  3 2 3  . .  1 3  3  2  .  1  1  . 1 3 2 2 2 2 1 2 3 2 1  2  2 3  5  2 2 1 1 1 2  3 . 2 3 3  2 . 1  .  2 4  2 #> ZFAT          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . 1  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZFC3H1        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZFHX2         . .  1 2  . . .  1 .  . .  1  .  1  .  .  . . . . . . . 1 . . . .  .  2 .  .  . . . . . .  . 2 . . .  . 1 .  .  . .  1 #> ZFHX3         3 .  1 .  . 1 .  . 1  . .  .  .  .  2  2  . . 2 1 . 1 . 1 . . . .  .  1 1  .  1 . . . . 2  1 . . . .  . 1 .  .  . .  . #> ZFHX4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP1          . 1  . 1  . . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . 1  . . . . .  . . .  .  1 .  . #> ZFP14         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP2          . .  . .  . . .  . .  2 .  .  .  .  .  .  . . . 1 . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZFP28         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP30         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . 1 . 1 . . .  .  . .  .  . 1 . . . .  . . . . .  1 1 .  1  . .  . #> ZFP36         . 1  . 1  1 . 1  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . 1 . 1  . . . . 1  . . .  .  . .  . #> ZFP36L1       . .  2 .  . . .  . .  . .  .  .  .  1  1  . . . 1 . . . . 1 . 1 .  .  . 2  .  . 1 . . . 3  . . . 3 1  . . .  .  . .  1 #> ZFP36L2       . .  . .  1 . .  . .  1 .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFP37         . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZFP41         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP57         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP62         1 .  1 1  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . 1 1 .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZFP64         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP82         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP90         . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . 2 . 1 . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> ZFP91         . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP91-CNTF    . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP92         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPL1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . 2 . .  .  . .  1  . . . . 1 .  . 1 . . .  . . .  .  . .  2 #> ZFPM2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFR           . .  3 2  . . .  4 1  2 .  .  1  1  .  .  . 1 . 1 . . 5 1 . 1 1 2  1  1 4  .  . 1 . 1 . .  3 1 . 3 .  1 . 1  2  . 1  1 #> ZFR2          . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFX           . .  . .  . . .  . .  . .  .  1  .  .  .  . . . 1 . . . . . . . .  .  2 .  .  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZFYVE1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFYVE19       2 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  1  . .  1  . . . . . .  1 . . . 1  1 . .  1  . .  1 #> ZFYVE21       . .  . 1  . . 1  2 1  . .  .  1  2  2  .  . 1 . . . 1 1 2 1 . . 1  1  . 1  .  . 1 . . . .  2 1 1 1 .  . . 1  .  . .  . #> ZFYVE26       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFYVE27       1 .  1 .  1 . 2  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . 1 .  1  1 .  . #> ZFYVE9        1 .  . .  . . .  1 .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZG16          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZG16B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGLP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGPAT         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1-C8orf76  1 1  1 .  . . .  3 .  . .  .  .  .  1  1  1 . . 1 . 1 . 1 . . 1 1  .  . .  .  . 1 . . . .  2 . 1 1 1  . . .  1  . 1  . #> ZHX2          . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> ZHX3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZIK1          . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN1       . .  1 .  . . 1  1 .  1 .  .  1  .  1  .  . . . 1 . 1 . 1 . . 1 1  .  . .  1  1 1 . . . .  1 . . . .  . . .  .  3 .  . #> ZKSCAN2       . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN4       . .  . 1  . . .  . .  . 1  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  1 1  .  2 . . . . .  1 . 1 . 2  . . .  1  . .  . #> ZKSCAN5       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZKSCAN7       . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN8       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT2         4 2  1 2  2 2 1  . .  1 .  .  .  2  1  2  1 2 1 . . . 1 . 2 1 1 .  2  1 3  2  2 . . 3 1 1  1 . 1 2 .  2 . .  2  1 2  2 #> ZMAT3         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT5         . 1  . .  1 . .  1 1  . 2  .  .  1  .  1  1 . . . . . 2 . 1 . 1 .  1  1 .  1  1 . 1 3 1 1  1 . 1 1 .  . . .  .  . .  2 #> ZMIZ1         1 .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . 1 . . . .  . . . 2 .  . . 1  .  . 2  . #> ZMIZ2         . 2  . 1  . 1 1  . .  . .  .  .  1  1  1  . 2 . 1 . . . . . 1 . .  .  . .  .  . 1 . 2 1 .  . . . . .  . . .  .  1 .  . #> ZMPSTE24      . .  1 .  . . .  1 2  . .  .  1  .  1  .  . . . . . . 1 . . . . .  .  . 1  .  . 1 . . 1 .  1 . . . .  . 2 .  .  1 .  . #> ZMYM1         . .  . .  . 1 .  1 .  . 1  .  .  .  .  .  1 1 . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM2         . 1  . .  . . .  2 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . 2  . #> ZMYM3         . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM4         . .  1 .  . 1 .  1 .  . .  .  1  .  .  2  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . 1  . . . 1 1  . . .  .  . .  . #> ZMYM5         . .  1 .  . . .  . .  . .  .  .  2  1  1  1 . 1 . . . . . . . 1 .  .  1 .  1  . . . . . .  . . 1 . 3  1 . .  .  1 .  . #> ZMYM6         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND11       . .  1 1  . 2 1  1 .  2 .  1  .  .  .  .  2 . 1 . . . 4 3 . 1 . .  2  1 .  1  . 1 . 1 . 1  2 . . . .  1 . 2  .  . .  . #> ZMYND12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND19       . .  . 1  1 . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZMYND8        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . 1 1  1 . .  1  1 .  . #> ZNF106        . 1  2 .  . . .  1 1  . .  .  .  .  .  .  1 1 . . . 1 1 1 . . 1 .  .  . .  1  . . . 1 1 .  . 1 . . .  . . .  .  . .  . #> ZNF112        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF12         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF121        . .  . .  . . .  . .  . 1  .  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF124        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF131        . .  1 1  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . .  . #> ZNF142        . .  . .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF143        2 .  . .  . . .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  2 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF146        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF148        . .  . 2  1 . .  1 1  . .  .  .  1  .  1  1 2 . . . . . . 1 1 . .  .  . .  1  . 1 . . . .  . . . . .  2 . .  1  . .  . #> ZNF160        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF169        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF174        . .  . .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  . #> ZNF18         . .  . .  . 1 1  . .  . .  .  1  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF180        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . 1 .  .  . .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZNF182        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF185        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF189        . .  . .  . . .  . .  . 2  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF195        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF200        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF202        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF205        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF207        . 1  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . 1 .  . . . . .  . 1 .  1  . .  . #> ZNF212        . 1  . .  . . 1  . .  . .  .  .  .  1  .  . 1 . 1 . . 1 . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF213        1 .  . .  2 1 .  . .  . .  .  .  .  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF217        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF219        2 .  1 .  . 1 .  . 1  . .  .  .  .  .  .  . . . . 1 . . 2 1 1 . .  .  . .  4  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZNF22         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF226        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF23         . 1  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . 1 . 1 . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> ZNF233        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . 1  .  . .  . #> ZNF236        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  1 . .  .  . .  . #> ZNF239        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF24         1 .  1 .  1 . .  . .  1 1  .  .  .  1  .  1 . . 1 . . . . . 1 . .  .  . .  2  . . . . . 1  . . . . .  . . 1  .  1 .  2 #> ZNF248        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF251        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF260        . .  . .  . . .  . .  . .  1  .  .  .  1  1 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF263        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . 1 1 . .  . . . . 2  . 1 .  1  . .  2 #> ZNF266        . .  . 1  . . 1  2 2  . .  .  .  .  1  .  . 1 . . . . 1 . . . . .  .  . 1  2  . . . 1 . .  . . . . .  . . .  1  . .  2 #> ZNF274        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 2 .  . . .  .  1 .  . #> ZNF276        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZNF277        1 .  1 .  2 . .  . .  . .  .  .  .  2  .  . . . . . . . . 1 . . .  1  . .  2  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF280B       . .  . 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  1 . 1 . . .  . . . . .  1 . 1  .  . .  . #> ZNF280C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> ZNF280D       . 1  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 . . 1  1 1 .  .  . .  . #> ZNF281        . .  . .  . . .  2 .  . .  .  .  .  2  .  . . . . . 1 . 3 . . . .  .  . .  .  . . . . . 1  . . . . .  1 . 2  .  . .  . #> ZNF282        . .  3 .  2 . .  . .  . .  .  .  .  .  .  . 1 . . 1 . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF286A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF287        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF292        . 2  . .  . 1 .  1 .  1 .  1  2  1  1  .  . . 1 1 . 2 . . . . . .  1  1 2  2  . 1 1 . 2 .  . . . 1 .  . . 1  1  1 .  1 #> ZNF296        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF316        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> ZNF317        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . .  . #> ZNF318        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF319        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  1 #> ZNF32         3 .  4 1  . . .  1 .  1 .  2  1  .  .  1  2 4 2 . . . . 2 . 1 2 1  1  . 3  .  . 1 . 2 . 1  . . . 3 .  . . .  .  1 .  1 #> ZNF322        . .  1 .  . 1 1  . 1  . .  .  .  .  1  .  . . 1 . . 2 . 1 . . . .  .  . .  .  1 . . . 1 .  1 1 . . .  . . .  .  . .  1 #> ZNF324        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF324B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF326        1 .  . .  . 1 .  . .  . 1  .  .  .  .  .  . 1 1 . . . . . 2 . . .  .  . 1  1  1 . . . 1 .  . . . . .  1 . .  2  . .  1 #> ZNF329        . 1  . .  . . 1  1 .  . 1  .  1  .  .  1  . 3 . . . 1 2 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  1 .  . #> ZNF330        . 1  . .  1 . .  2 .  . .  1  1  .  .  .  . . . . . . 1 2 . . . .  .  . .  .  . . . 1 . 1  . . . . 2  1 . .  .  . .  . #> ZNF334        . .  . .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF335        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF337        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF34         2 .  2 .  . 1 .  1 1  . 1  .  .  3  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . . .  3 . 1 . 1  1 1 .  1  1 .  . #> ZNF341        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF345        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF346        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF354A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ZNF354B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF354C       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZNF358        . .  . .  . 1 .  . .  . .  1  .  .  .  .  . . . . 1 1 . . . . . 1  1  . 2  1  . . . . 2 .  4 . . . 1  1 . .  .  1 .  . #> ZNF362        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF365        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF367        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF382        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF383        . .  2 .  . 1 .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZNF384        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  1 #> ZNF385A       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF385B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF385C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF394        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF395        . .  . .  1 . .  . .  . .  1  .  .  2  .  . . . 1 . . . . . . 1 .  .  2 1  .  . 1 . . . 1  . 1 . 1 .  . . 1  .  . .  . #> ZNF397        . .  . 1  . . .  . .  . .  .  .  2  .  2  . . . . . . . . 1 . 1 .  .  . 1  1  . . . 1 . .  . . . . .  . . .  1  . .  . #> ZNF398        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . 1 . . . . . . . .  .  . .  1  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF408        . .  . .  . . .  . .  . 1  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF410        . 1  . .  . 2 .  1 1  . .  2  1  .  .  .  1 . . . 2 . . . 1 1 . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF414        . .  1 2  . . .  . .  . 1  .  .  .  1  2  1 . 2 . . . . . 1 . . .  .  . .  .  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF418        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF419        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF420        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> ZNF423        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF426        . .  . .  . . .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> ZNF428        3 .  . .  . 1 .  . .  1 .  .  .  .  .  3  2 . . . . . . 1 . 1 . .  .  2 .  1  . 1 . 1 . 1  . . . . .  1 1 .  .  1 .  . #> ZNF429        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF433        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF436        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  1 .  . #> ZNF438        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF439        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF440        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF444        2 .  1 2  . . .  . .  . .  .  .  .  .  .  1 . 1 . . . . . . 2 1 .  1  . .  2  1 1 . . . .  1 . . . .  1 1 .  .  . 2  . #> ZNF445        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF446        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF449        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . 1 .  . . . . .  . . .  .  . .  . #> ZNF45         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF451        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZNF454        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF462        . .  . .  1 . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF467        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . 1  .  . 1 1 . . .  . . 1 . .  . . .  .  . .  . #> ZNF473        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF48         . .  2 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . 1 . 3 .  1 . . . 1  . . .  .  2 .  . #> ZNF480        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF483        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF487        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF491        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF496        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF503        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  1 . .  1  . .  . #> ZNF507        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511        . .  1 .  . 1 .  . .  1 1  .  1  .  2  .  . . . . . . 1 . 1 . . 1  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511-PRAP1  . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF512        . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 1 . . . . .  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  2 #> ZNF512B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF513        . 1  . .  . . .  . .  . .  1  .  .  .  .  1 . . 2 . . . . 2 . . .  .  2 .  1  . . . . 1 .  1 . . . .  . . .  1  1 .  . #> ZNF516        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . 1 . . 1 . 1 . .  1  . .  .  . . . 2 1 .  1 1 . . .  . . .  .  1 1  . #> ZNF517        . .  2 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF518A       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF518B       . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF521        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF526        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF532        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF536        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF541        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF551        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF552        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF554        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF555        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF556        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF558        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF560        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF561        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF562        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF566        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF569        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF570        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF574        1 .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 2  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF575        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF583        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . . .  . . .  .  . .  . #> ZNF586        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF587B       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF592        . .  . .  1 . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF593        1 .  . .  1 . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF597        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF598        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . 1 2 . 1  . . . . .  . . 1  .  . .  . #> ZNF605        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF606        . .  . .  . . .  . .  . .  1  .  .  1  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  1  . .  . #> ZNF608        . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  1 .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF609        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF610        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF618        1 .  . 1  . . .  . 1  . .  .  .  .  2  .  . . . . 1 . . . . . 1 .  .  1 .  .  . . 1 . . 1  1 . . . .  . . .  .  . .  . #> ZNF622        1 .  . .  1 . 1  2 1  . 2  .  1  1  1  1  1 . . . . . . . 1 . . 1  .  . 2  1  . 2 . . . .  . . 1 . 2  . . 1  .  2 1  . #> ZNF623        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF627        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF628        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . . .  .  . 1  . #> ZNF629        . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . 1 .  . . .  .  1 .  . #> ZNF638        2 .  . .  . . 1  . 2  . .  3  1  1  .  .  1 . . 1 . . . . . . . .  .  . 2  .  1 . . . . .  1 1 . . .  . . .  .  1 .  1 #> ZNF639        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  . .  .  . . . 1 . .  1 . . . .  1 . .  .  1 1  . #> ZNF641        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF644        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF646        1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . 1 1 2 . . .  .  . 1  .  . . . . . .  . . . . .  1 . .  .  . .  2 #> ZNF652        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF653        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF654        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF655        1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . 1 . .  . . . 1 .  . . 1  .  1 .  . #> ZNF664        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF665        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF667        . .  . .  . . .  2 .  . .  .  .  1  1  1  1 . . 1 . . . . . . . 1  .  1 .  .  . . . 2 . .  . 2 . . .  . . .  1  . .  . #> ZNF668        1 .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . 1 . .  .  1 .  1  . . . 1 . .  1 . . . .  . . 1  .  . 1  . #> ZNF669        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF672        . 1  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . . 1 . . 1 . .  .  1 .  .  1 . 1 . . 1  . . . . .  . . .  1  . .  . #> ZNF674        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF687        . .  . .  1 . .  1 .  . .  .  1  .  .  .  . 1 . . . . . . . . . .  .  . .  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> ZNF688        2 .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZNF689        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF691        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF692        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . 1 .  . . .  .  . 2  . #> ZNF697        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF7          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . 1 .  1 . . . .  . . .  .  . .  . #> ZNF700        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF703        . 2  . .  3 . 1  . .  . .  1  1  .  1  .  . 1 . . . 1 . 1 1 . . .  1  . 1  2  2 1 . . 1 .  . . . . 1  1 . 1  .  . .  1 #> ZNF704        . .  1 .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . 1  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZNF705A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705E       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705G       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF706        5 4  5 1  3 7 .  3 1  . 4  1  2  .  3 18  2 . 3 2 1 2 . 1 3 . 2 1  2  5 2  2  4 2 1 2 3 3  1 . . 4 2  3 1 2  3  1 2  5 #> ZNF711        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF713        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . . . . . .  1  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF721        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF727        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF736        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF740        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZNF746        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . 1 . . . 1 . .  .  . .  .  . . . . 1 .  1 1 . . .  . . .  .  . .  . #> ZNF747        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF749        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF750        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF76         . .  . .  . . .  . .  . .  .  .  .  .  .  . . 2 . . . . . . . 1 .  .  1 .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF763        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF764        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF768        . .  1 1  . . 1  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 1 . .  . . .  .  . .  . #> ZNF770        . .  . .  . . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF771        2 .  1 1  . 1 .  . 1  . .  .  .  .  1  .  1 . . . . . . . . . . 3  .  . .  .  . 1 . . 1 1  . 2 1 . 1  . . .  .  1 1  2 #> ZNF777        . .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF778        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF780A       . .  . .  . . .  . .  1 .  .  1  .  .  .  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ZNF781        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF784        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF786        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF787        . .  . 1  2 1 .  . .  . 1  1  1  .  .  .  1 . . . . . 1 . 1 . . .  .  . .  .  . . . . . 2  1 . . . .  . . 1  .  . 1  . #> ZNF8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF800        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF804A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF821        1 1  1 .  . . .  . .  . .  .  1  2  .  1  . . 1 . 1 . . . . 1 . .  .  . 1  .  . . . . . .  . . . . 2  1 . 1  1  . .  . #> ZNF827        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . 1 . . .  . . . . .  . . .  1  . 1  . #> ZNF830        1 1  1 .  2 1 .  . .  . .  1  .  .  .  1  . 1 . 1 . 1 1 . 1 2 . .  .  . .  1  1 1 . . . .  2 . . . 1  . . .  2  . 1  1 #> ZNF839        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF845        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . 1  1  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF850        . .  . 1  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF879        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  2  . .  . #> ZNF891        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNFX1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . 2 . .  . . 1  .  . .  . #> ZNHIT1        1 1  3 1  2 1 .  1 .  2 .  2  1  2  .  1  1 3 . 2 . 1 1 2 . . 2 .  4  . 2  .  1 . 2 5 . 2  . 1 3 1 .  . 3 2  .  3 .  3 #> ZNHIT2        . .  1 1  . 1 .  . .  . 1  .  1  .  .  2  1 . 1 . . 1 . 1 . . 2 1  .  . .  .  . . 1 . . .  . 1 1 . .  . 1 1  .  . 1  . #> ZNHIT3        1 1  2 .  1 . .  1 .  . .  .  .  .  1  1  . 1 . . . . 1 . 2 . . 1  1  . .  1  . . . . . .  2 . . . .  1 . 1  .  1 1  . #> ZNHIT6        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNRF1         . 1  . .  . 1 1  1 .  . .  1  .  .  .  .  . 1 . . 2 . 1 . . 1 . .  1  . .  3  . . . . . .  1 1 1 . .  . . .  .  . .  . #> ZNRF2         . .  . .  1 . .  . .  . .  .  .  .  3  .  . . . . . 1 . . . . . .  1  1 1  .  . . . . 1 .  . . . . 1  . . 1  .  1 1  . #> ZNRF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . 1 . .  . 1 .  .  . .  . #> ZPBP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPBP2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPR1          1 .  . 1  . 1 .  . .  . 1  .  .  .  1  .  . . . 1 . . 1 . . 1 1 1  .  . .  1  . . . . . 1  . . 1 . 1  . 1 .  1  . .  . #> ZRANB1        . 1  1 .  . . .  1 .  1 1  2  1  .  1  1  . . . . 1 2 2 1 . 1 . 1  .  . .  .  1 . . . 1 .  . . . . .  1 . 1  1  . .  1 #> ZRANB2        . .  2 1  . . 1  1 1  1 .  .  .  2  .  2  1 . 1 . . 1 1 1 1 . . .  .  2 2  .  1 1 . . . .  1 . . . .  . . 1  1  1 2  1 #> ZRANB3        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZRSR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . 1 . 1  . . .  .  1 .  . #> ZSCAN18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN2        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  1 . . . .  . 1 .  .  . .  . #> ZSCAN20       . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN21       . .  1 1  . . .  . .  . .  .  1  .  .  .  . . 1 . 2 . . . 1 . . .  .  . .  .  . . . . . 1  2 1 . 1 .  . 1 .  .  . 1  . #> ZSCAN22       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . 1 . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN25       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN26       . .  2 .  . . .  1 .  . .  .  .  .  .  1  . . 1 . 1 . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . 1 .  2  . 1  . #> ZSCAN29       . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZSWIM1        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . 1 . 1 1  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM3        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM4        . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM5        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM6        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM7        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . . . 1 .  1  . 1  .  . 1 . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM8        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . 1 . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZW10          . .  . .  . . .  . .  . .  .  1  .  .  1  . . 1 . 1 . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZWILCH        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . 1 .  . . .  .  . .  . #> ZWINT         1 .  . 2  1 1 .  2 3  1 1  .  .  3  1  4  3 . . 1 . 2 . 3 1 . 2 3  2  6 .  1  3 2 7 . . .  . 1 2 . 1  1 . 1  1  . 1  1 #> ZXDC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZYG11B        . .  2 1  . . .  . .  . .  .  1  1  .  .  . . . . . . . . 1 . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZYX           . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZZEF1         . .  . .  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> ZZZ3          1 .  1 .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . 1 . . . .  1  1 .  .  . . . . . 1  . 1 . . .  . . .  .  2 .  . #>                          #> UBR3         .  1 ...... #> UBR4         1  . ...... #> UBR5         1  . ...... #> UBR7         .  . ...... #> UBTD1        .  . ...... #> UBTD2        .  . ...... #> UBTF         .  1 ...... #> UBXN1        4  . ...... #> UBXN10       .  . ...... #> UBXN11       .  . ...... #> UBXN2A       .  . ...... #> UBXN2B       .  . ...... #> UBXN4        1  3 ...... #> UBXN6        .  1 ...... #> UBXN7        .  1 ...... #> UBXN8        .  . ...... #> UCHL1        1  1 ...... #> UCHL3        .  . ...... #> UCHL5        .  . ...... #> UCK1         .  . ...... #> UCK2         1  . ...... #> UCKL1        .  . ...... #> UCN3         .  . ...... #> UCP2         .  . ...... #> UEVLD        .  . ...... #> UFC1         .  5 ...... #> UFL1         .  . ...... #> UFM1         1  3 ...... #> UFSP1        .  . ...... #> UFSP2        .  . ...... #> UGCG         1  . ...... #> UGDH         .  . ...... #> UGGT1        .  2 ...... #> UGGT2        .  . ...... #> UGP2         .  . ...... #> UGT1A6       .  . ...... #> UGT8         .  . ...... #> UHMK1        .  . ...... #> UHRF1        .  . ...... #> UHRF1BP1     .  . ...... #> UHRF1BP1L    .  . ...... #> UHRF2        .  1 ...... #> UIMC1        .  1 ...... #> ULK1         .  . ...... #> ULK2         .  . ...... #> ULK3         .  . ...... #> ULK4         .  . ...... #> UMODL1       .  . ...... #> UMPS         .  . ...... #> UNC119       .  1 ...... #> UNC119B      .  . ...... #> UNC13A       .  . ...... #> UNC13B       .  . ...... #> UNC13C       .  . ...... #> UNC13D       .  . ...... #> UNC45A       .  . ...... #> UNC50        .  1 ...... #> UNC5A        .  . ...... #> UNC5B        .  . ...... #> UNC5C        .  . ...... #> UNC5D        .  . ...... #> UNC79        .  . ...... #> UNC80        .  . ...... #> UNC93B1      .  . ...... #> UNG          .  . ...... #> UNK          .  . ...... #> UNKL         .  . ...... #> UPB1         .  . ...... #> UPF1         .  2 ...... #> UPF2         .  2 ...... #> UPF3A        .  . ...... #> UPF3B        .  1 ...... #> UPK1A        .  . ...... #> UPK1B        .  . ...... #> UPK3A        .  . ...... #> UPK3B        .  . ...... #> UPK3BL1      .  . ...... #> UPK3BL2      .  . ...... #> UPP1         .  . ...... #> UPP2         .  . ...... #> UPRT         .  . ...... #> UQCC1        .  . ...... #> UQCC2        2 12 ...... #> UQCC3        1  2 ...... #> UQCR10       3  2 ...... #> UQCR11       1  7 ...... #> UQCRB        3  7 ...... #> UQCRC1       2  . ...... #> UQCRC2       1  . ...... #> UQCRFS1      .  1 ...... #> UQCRH        5  5 ...... #> UQCRHL       5  5 ...... #> UQCRQ        .  4 ...... #> URB1         .  . ...... #> URB2         .  . ...... #> URGCP        .  . ...... #> URI1         .  . ...... #> URM1         2  . ...... #> UROD         .  . ...... #> UROS         1  . ...... #> USB1         .  . ...... #> USE1         3  . ...... #> USF1         .  . ...... #> USF2         .  . ...... #> USF3         .  . ...... #> USH1C        .  . ...... #> USH1G        .  . ...... #> USH2A        .  . ...... #> USHBP1       .  . ...... #> USO1         .  1 ...... #> USP1         .  . ...... #> USP10        .  . ...... #> USP11        .  . ...... #> USP12        .  . ...... #> USP13        .  . ...... #> USP14        .  . ...... #> USP15        .  . ...... #> USP16        .  . ...... #> USP18        .  . ...... #> USP19        .  . ...... #> USP2         .  . ...... #> USP20        .  . ...... #> USP21        .  . ...... #> USP22        3  1 ...... #> USP24        .  . ...... #> USP25        .  . ...... #> USP27X       .  . ...... #> USP28        .  . ...... #> USP29        .  . ...... #> USP3         .  . ...... #> USP30        .  . ...... #> USP31        .  . ...... #> USP32        .  . ...... #> USP33        1  . ...... #> USP34        .  1 ...... #> USP35        .  1 ...... #> USP36        .  . ...... #> USP37        .  . ...... #> USP38        .  . ...... #> USP39        1  . ...... #> USP4         2  . ...... #> USP40        1  . ...... #> USP41        .  . ...... #> USP42        .  . ...... #> USP43        .  . ...... #> USP44        .  . ...... #> USP45        .  . ...... #> USP46        .  . ...... #> USP47        .  . ...... #> USP48        .  . ...... #> USP49        .  . ...... #> USP5         .  1 ...... #> USP50        .  . ...... #> USP51        .  . ...... #> USP53        1  . ...... #> USP54        .  1 ...... #> USP6         .  . ...... #> USP6NL       .  . ...... #> USP7         .  1 ...... #> USP8         .  . ...... #> USP9X        .  . ...... #> USPL1        1  1 ...... #> UTP14A       .  . ...... #> UTP14C       .  . ...... #> UTP15        .  . ...... #> UTP18        .  1 ...... #> UTP20        .  . ...... #> UTP23        .  . ...... #> UTP3         1  . ...... #> UTP6         .  . ...... #> UTRN         .  . ...... #> UTY          .  . ...... #> UVRAG        .  . ...... #> UVSSA        .  . ...... #> UXS1         .  1 ...... #> UXT          .  . ...... #> VAC14        .  . ...... #> VAMP1        .  . ...... #> VAMP2        .  . ...... #> VAMP3        .  . ...... #> VAMP4        .  . ...... #> VAMP5        .  . ...... #> VAMP8        2  . ...... #> VANGL1       .  . ...... #> VANGL2       .  . ...... #> VAPA         .  3 ...... #> VAPB         2  3 ...... #> VARS1        .  . ...... #> VARS2        .  . ...... #> VASH1        .  . ...... #> VASH2        .  . ...... #> VASP         .  . ...... #> VAT1         1  . ...... #> VAT1L        .  1 ...... #> VAV1         .  . ...... #> VAV2         .  . ...... #> VAV3         .  . ...... #> VBP1         .  . ...... #> VCAM1        .  . ...... #> VCAN         .  . ...... #> VCL          .  . ...... #> VCP          2  3 ...... #> VCPIP1       .  . ...... #> VCPKMT       .  . ...... #> VDAC1        1  1 ...... #> VDAC2        3  2 ...... #> VDAC3        5  . ...... #> VDR          .  . ...... #> VEGFA        .  . ...... #> VEGFB        .  . ...... #> VEGFC        .  . ...... #> VEPH1        .  . ...... #> VEZF1        1  . ...... #> VEZT         .  . ...... #> VGF          .  . ...... #> VGLL1        .  . ...... #> VGLL2        .  . ...... #> VGLL4        .  1 ...... #> VHL          .  . ...... #> VHLL         .  . ...... #> VIL1         .  . ...... #> VILL         .  . ...... #> VIM          .  . ...... #> VIPAS39      1  . ...... #> VIPR1        .  . ...... #> VIPR2        .  . ...... #> VKORC1       .  . ...... #> VKORC1L1     .  . ...... #> VLDLR        .  1 ...... #> VMA21        .  . ...... #> VMAC         1  . ...... #> VMP1         2  . ...... #> VN1R5        .  . ...... #> VNN1         .  . ...... #> VOPP1        .  . ...... #> VPREB1       .  . ...... #> VPS11        .  . ...... #> VPS13A       .  . ...... #> VPS13B       .  . ...... #> VPS13C       .  1 ...... #> VPS13D       .  1 ...... #> VPS16        .  . ...... #> VPS18        .  . ...... #> VPS25        .  . ...... #> VPS26A       .  . ...... #> VPS26B       .  . ...... #> VPS29        2  1 ...... #> VPS33A       .  . ...... #> VPS33B       .  . ...... #> VPS35        .  2 ...... #> VPS36        .  1 ...... #> VPS37A       1  . ...... #> VPS37B       .  1 ...... #> VPS37C       .  . ...... #> VPS37D       .  . ...... #> VPS39        .  . ...... #> VPS41        .  . ...... #> VPS45        .  . ...... #> VPS4A        .  . ...... #> VPS4B        .  1 ...... #> VPS50        .  . ...... #> VPS51        .  . ...... #> VPS52        .  . ...... #> VPS53        .  . ...... #> VPS54        .  . ...... #> VPS72        3  3 ...... #> VPS8         .  . ...... #> VPS9D1       1  . ...... #> VRK1         .  . ...... #> VRK2         .  . ...... #> VRK3         .  . ...... #> VSIG1        .  . ...... #> VSIG10       .  . ...... #> VSIG10L      .  . ...... #> VSIG2        .  . ...... #> VSIG8        .  . ...... #> VSIR         .  . ...... #> VSNL1        .  . ...... #> VSTM2A       .  . ...... #> VSTM2B       .  . ...... #> VSTM2L       .  . ...... #> VSTM4        .  . ...... #> VSTM5        .  . ...... #> VTA1         .  . ...... #> VTCN1        .  . ...... #> VTI1A        .  . ...... #> VTI1B        .  1 ...... #> VTN          .  . ...... #> VWA1         .  . ...... #> VWA2         .  . ...... #> VWA3B        .  . ...... #> VWA5A        .  . ...... #> VWA5B1       .  . ...... #> VWA5B2       1  . ...... #> VWA8         .  . ...... #> VWC2         .  . ...... #> VWCE         .  . ...... #> WAC          .  . ...... #> WAPL         .  . ...... #> WARS1        .  . ...... #> WARS2        .  . ...... #> WASF1        .  . ...... #> WASF2        .  . ...... #> WASF3        .  . ...... #> WASL         .  1 ...... #> WBP1         1  1 ...... #> WBP1L        1  . ...... #> WBP2         1  . ...... #> WBP4         .  . ...... #> WDFY1        .  . ...... #> WDFY3        .  1 ...... #> WDHD1        .  . ...... #> WDPCP        .  . ...... #> WDR1         .  1 ...... #> WDR11        .  . ...... #> WDR12        1  . ...... #> WDR13        .  . ...... #> WDR18        .  . ...... #> WDR19        .  . ...... #> WDR20        .  . ...... #> WDR24        .  . ...... #> WDR25        .  . ...... #> WDR26        .  . ...... #> WDR3         .  . ...... #> WDR31        .  . ...... #> WDR33        .  . ...... #> WDR35        .  . ...... #> WDR36        .  . ...... #> WDR37        .  . ...... #> WDR4         .  . ...... #> WDR41        .  . ...... #> WDR43        .  . ...... #> WDR44        .  . ...... #> WDR45        .  . ...... #> WDR45B       .  . ...... #> WDR46        .  . ...... #> WDR47        .  . ...... #> WDR48        .  . ...... #> WDR49        .  . ...... #> WDR5         .  . ...... #> WDR53        .  . ...... #> WDR54        .  . ...... #> WDR55        .  . ...... #> WDR59        .  . ...... #> WDR5B        .  . ...... #> WDR6         .  1 ...... #> WDR61        2  . ...... #> WDR62        .  . ...... #> WDR7         .  . ...... #> WDR70        .  . ...... #> WDR72        .  . ...... #> WDR73        .  . ...... #> WDR74        1  . ...... #> WDR75        .  . ...... #> WDR76        .  . ...... #> WDR77        .  . ...... #> WDR81        .  . ...... #> WDR82        .  1 ...... #> WDR83        .  . ...... #> WDR83OS      .  1 ...... #> WDR86        .  . ...... #> WDR89        .  4 ...... #> WDR90        .  . ...... #> WDR91        .  . ...... #> WDR92        .  1 ...... #> WDR93        .  . ...... #> WDSUB1       .  . ...... #> WDTC1        .  2 ...... #> WEE1         .  . ...... #> WEE2         .  . ...... #> WFDC10A      .  . ...... #> WFDC13       .  . ...... #> WFDC2        2  . ...... #> WFDC3        .  . ...... #> WFDC9        .  . ...... #> WFIKKN1      .  . ...... #> WFIKKN2      .  . ...... #> WFS1         .  1 ...... #> WHAMM        .  . ...... #> WHRN         .  . ...... #> WIF1         .  . ...... #> WIPF1        .  . ...... #> WIPF2        .  . ...... #> WIPF3        .  . ...... #> WIPI1        .  . ...... #> WIPI2        .  3 ...... #> WIZ          .  . ...... #> WLS          .  . ...... #> WNK1         .  . ...... #> WNK2         .  . ...... #> WNK3         .  . ...... #> WNK4         .  . ...... #> WNT10B       .  . ...... #> WNT11        .  . ...... #> WNT3         .  . ...... #> WNT4         .  . ...... #> WNT5A        .  . ...... #> WNT5B        .  . ...... #> WNT6         .  . ...... #> WNT7B        .  . ...... #> WNT9A        .  . ...... #> WNT9B        .  . ...... #> WRAP53       .  . ...... #> WRAP73       .  . ...... #> WRN          .  . ...... #> WRNIP1       .  . ...... #> WSB1         1  1 ...... #> WSB2         2  . ...... #> WSCD1        .  . ...... #> WTAP         .  . ...... #> WTIP         .  . ...... #> WWC1         .  . ...... #> WWC2         .  . ...... #> WWOX         .  . ...... #> WWP1         .  . ...... #> WWP2         .  . ...... #> WWTR1        .  . ...... #> XAB2         .  . ...... #> XAF1         .  . ...... #> XBP1         .  3 ...... #> XDH          .  . ...... #> XIAP         .  . ...... #> XK           .  . ...... #> XKR5         .  . ...... #> XKR6         .  . ...... #> XKR7         .  . ...... #> XKR8         .  . ...... #> XKR9         .  . ...... #> XPA          .  . ...... #> XPC          .  . ...... #> XPNPEP1      .  . ...... #> XPNPEP2      .  . ...... #> XPNPEP3      .  . ...... #> XPO1         .  1 ...... #> XPO4         .  . ...... #> XPO5         .  . ...... #> XPO6         .  . ...... #> XPO7         .  . ...... #> XPOT         .  . ...... #> XPR1         .  1 ...... #> XRCC1        .  . ...... #> XRCC2        .  . ...... #> XRCC3        .  . ...... #> XRCC4        .  . ...... #> XRCC5        .  1 ...... #> XRCC6        .  . ...... #> XRN1         1  . ...... #> XRN2         2  . ...... #> XRRA1        .  . ...... #> XXYLT1       .  . ...... #> XYLB         .  . ...... #> XYLT1        .  . ...... #> XYLT2        .  . ...... #> YAE1         .  . ...... #> YAF2         1  . ...... #> YAP1         .  . ...... #> YARS1        .  . ...... #> YARS2        .  . ...... #> YBEY         .  . ...... #> YBX2         .  . ...... #> YBX3         .  . ...... #> YDJC         .  . ...... #> YEATS2       .  . ...... #> YEATS4       .  . ...... #> YES1         .  . ...... #> YIF1A        .  . ...... #> YIF1B        .  1 ...... #> YIPF1        .  1 ...... #> YIPF2        1  . ...... #> YIPF3        .  . ...... #> YIPF4        .  . ...... #> YIPF5        .  . ...... #> YIPF6        .  . ...... #> YKT6         1  1 ...... #> YLPM1        .  . ...... #> YME1L1       .  . ...... #> YOD1         .  . ...... #> YPEL1        .  . ...... #> YPEL2        .  . ...... #> YPEL3        3  1 ...... #> YPEL4        .  1 ...... #> YPEL5        .  . ...... #> YRDC         1  1 ...... #> YTHDC1       .  . ...... #> YTHDC2       .  . ...... #> YTHDF1       .  . ...... #> YTHDF2       .  . ...... #> YTHDF3       .  . ...... #> YWHAB        .  4 ...... #> YWHAE        9  9 ...... #> YWHAG        2  . ...... #> YWHAH        4  1 ...... #> YWHAQ        6  5 ...... #> YWHAZ        2  1 ...... #> YY1          2  1 ...... #> YY1AP1       .  . ...... #> Z82190.2     .  . ...... #> Z83844.1     .  . ...... #> Z84488.1     .  . ...... #> ZADH2        .  . ...... #> ZAP70        .  . ...... #> ZAR1         .  . ...... #> ZAR1L        .  . ...... #> ZBED3        .  . ...... #> ZBED4        .  1 ...... #> ZBED9        .  . ...... #> ZBP1         .  . ...... #> ZBTB1        .  . ...... #> ZBTB10       .  . ...... #> ZBTB11       .  . ...... #> ZBTB12       .  . ...... #> ZBTB14       .  . ...... #> ZBTB16       .  . ...... #> ZBTB17       .  . ...... #> ZBTB18       .  . ...... #> ZBTB2        .  . ...... #> ZBTB20       1  1 ...... #> ZBTB21       .  . ...... #> ZBTB24       .  1 ...... #> ZBTB25       1  . ...... #> ZBTB26       .  . ...... #> ZBTB3        .  . ...... #> ZBTB32       .  . ...... #> ZBTB33       1  . ...... #> ZBTB34       .  . ...... #> ZBTB37       .  . ...... #> ZBTB38       1  . ...... #> ZBTB39       .  . ...... #> ZBTB4        .  . ...... #> ZBTB40       .  . ...... #> ZBTB41       .  . ...... #> ZBTB42       .  . ...... #> ZBTB43       .  . ...... #> ZBTB44       .  . ...... #> ZBTB45       .  . ...... #> ZBTB46       .  . ...... #> ZBTB47       .  . ...... #> ZBTB48       .  . ...... #> ZBTB49       .  . ...... #> ZBTB5        .  . ...... #> ZBTB6        .  . ...... #> ZBTB7A       .  . ...... #> ZBTB7B       .  1 ...... #> ZBTB7C       .  1 ...... #> ZBTB8A       .  . ...... #> ZBTB8B       .  . ...... #> ZBTB8OS      .  . ...... #> ZC2HC1A      1  1 ...... #> ZC2HC1C      .  . ...... #> ZC3H10       .  . ...... #> ZC3H11A      .  . ...... #> ZC3H11B      .  . ...... #> ZC3H12A      .  . ...... #> ZC3H12B      .  . ...... #> ZC3H12C      .  . ...... #> ZC3H12D      .  . ...... #> ZC3H13       .  . ...... #> ZC3H14       2  . ...... #> ZC3H15       .  . ...... #> ZC3H18       .  . ...... #> ZC3H3        .  1 ...... #> ZC3H4        .  . ...... #> ZC3H6        .  . ...... #> ZC3H7A       .  . ...... #> ZC3H7B       1  1 ...... #> ZC3H8        .  . ...... #> ZC3HAV1      .  . ...... #> ZC3HAV1L     .  . ...... #> ZC3HC1       .  . ...... #> ZC4H2        .  . ...... #> ZCCHC10      .  . ...... #> ZCCHC12      3  . ...... #> ZCCHC14      .  . ...... #> ZCCHC17      .  . ...... #> ZCCHC18      3  . ...... #> ZCCHC2       .  1 ...... #> ZCCHC24      .  . ...... #> ZCCHC3       .  . ...... #> ZCCHC4       .  . ...... #> ZCCHC7       .  . ...... #> ZCCHC8       1  . ...... #> ZCCHC9       .  1 ...... #> ZCRB1        .  3 ...... #> ZCWPW1       .  . ...... #> ZDBF2        1  . ...... #> ZDHHC1       .  . ...... #> ZDHHC12      .  . ...... #> ZDHHC13      .  1 ...... #> ZDHHC14      .  . ...... #> ZDHHC15      .  . ...... #> ZDHHC16      .  . ...... #> ZDHHC17      .  . ...... #> ZDHHC18      .  . ...... #> ZDHHC2       .  . ...... #> ZDHHC20      .  1 ...... #> ZDHHC21      .  . ...... #> ZDHHC23      .  . ...... #> ZDHHC24      .  . ...... #> ZDHHC3       .  . ...... #> ZDHHC4       .  1 ...... #> ZDHHC5       .  . ...... #> ZDHHC6       .  . ...... #> ZDHHC7       .  . ...... #> ZDHHC8       .  . ...... #> ZDHHC9       .  . ...... #> ZEB1         .  . ...... #> ZEB2         .  . ...... #> ZER1         .  . ...... #> ZFAND1       .  . ...... #> ZFAND2A      .  . ...... #> ZFAND2B      .  . ...... #> ZFAND3       .  . ...... #> ZFAND4       .  . ...... #> ZFAND5       2  . ...... #> ZFAND6       4  . ...... #> ZFAT         .  . ...... #> ZFC3H1       .  . ...... #> ZFHX2        .  2 ...... #> ZFHX3        2  . ...... #> ZFHX4        .  . ...... #> ZFP1         1  . ...... #> ZFP14        .  1 ...... #> ZFP2         .  . ...... #> ZFP28        .  . ...... #> ZFP3         .  . ...... #> ZFP30        .  . ...... #> ZFP36        1  . ...... #> ZFP36L1      .  . ...... #> ZFP36L2      .  . ...... #> ZFP37        .  . ...... #> ZFP41        .  . ...... #> ZFP57        .  . ...... #> ZFP62        .  . ...... #> ZFP64        .  . ...... #> ZFP69        .  . ...... #> ZFP82        .  . ...... #> ZFP90        .  . ...... #> ZFP91        .  . ...... #> ZFP91-CNTF   .  . ...... #> ZFP92        .  . ...... #> ZFPL1        .  . ...... #> ZFPM1        .  . ...... #> ZFPM2        .  . ...... #> ZFR          .  1 ...... #> ZFR2         .  . ...... #> ZFX          .  . ...... #> ZFYVE1       .  . ...... #> ZFYVE19      .  . ...... #> ZFYVE21      .  . ...... #> ZFYVE26      .  . ...... #> ZFYVE27      .  . ...... #> ZFYVE9       .  . ...... #> ZG16         .  . ...... #> ZG16B        .  . ...... #> ZGLP1        .  . ...... #> ZGPAT        .  . ...... #> ZHX1         .  . ...... #> ZHX1-C8orf76 .  . ...... #> ZHX2         .  . ...... #> ZHX3         .  . ...... #> ZIK1         .  . ...... #> ZKSCAN1      .  . ...... #> ZKSCAN2      .  . ...... #> ZKSCAN4      .  . ...... #> ZKSCAN5      .  . ...... #> ZKSCAN7      .  . ...... #> ZKSCAN8      .  . ...... #> ZMAT1        .  . ...... #> ZMAT2        .  . ...... #> ZMAT3        .  . ...... #> ZMAT5        .  . ...... #> ZMIZ1        .  1 ...... #> ZMIZ2        1  1 ...... #> ZMPSTE24     1  . ...... #> ZMYM1        .  . ...... #> ZMYM2        .  . ...... #> ZMYM3        .  . ...... #> ZMYM4        .  . ...... #> ZMYM5        1  . ...... #> ZMYM6        .  . ...... #> ZMYND10      .  . ...... #> ZMYND11      .  . ...... #> ZMYND12      .  . ...... #> ZMYND19      .  . ...... #> ZMYND8       .  . ...... #> ZNF106       .  . ...... #> ZNF112       .  . ...... #> ZNF12        .  . ...... #> ZNF121       .  . ...... #> ZNF124       .  . ...... #> ZNF131       .  . ...... #> ZNF142       .  . ...... #> ZNF143       .  . ...... #> ZNF146       .  . ...... #> ZNF148       .  2 ...... #> ZNF160       .  . ...... #> ZNF169       .  . ...... #> ZNF174       .  . ...... #> ZNF18        .  . ...... #> ZNF180       .  . ...... #> ZNF182       .  . ...... #> ZNF185       .  . ...... #> ZNF189       .  . ...... #> ZNF195       .  . ...... #> ZNF2         .  . ...... #> ZNF20        .  . ...... #> ZNF200       .  . ...... #> ZNF202       .  . ...... #> ZNF205       1  . ...... #> ZNF207       .  . ...... #> ZNF212       .  . ...... #> ZNF213       .  . ...... #> ZNF217       .  . ...... #> ZNF219       .  . ...... #> ZNF22        .  . ...... #> ZNF226       .  . ...... #> ZNF23        .  . ...... #> ZNF233       .  . ...... #> ZNF236       .  . ...... #> ZNF239       .  . ...... #> ZNF24        .  . ...... #> ZNF248       .  . ...... #> ZNF25        .  . ...... #> ZNF251       .  . ...... #> ZNF260       2  1 ...... #> ZNF263       .  . ...... #> ZNF266       1  . ...... #> ZNF274       .  2 ...... #> ZNF276       .  . ...... #> ZNF277       .  . ...... #> ZNF280B      .  . ...... #> ZNF280C      .  . ...... #> ZNF280D      .  . ...... #> ZNF281       .  . ...... #> ZNF282       .  1 ...... #> ZNF286A      .  . ...... #> ZNF287       .  . ...... #> ZNF292       .  . ...... #> ZNF296       .  . ...... #> ZNF316       .  . ...... #> ZNF317       .  . ...... #> ZNF318       1  . ...... #> ZNF319       .  . ...... #> ZNF32        2  . ...... #> ZNF322       .  . ...... #> ZNF324       .  1 ...... #> ZNF324B      .  1 ...... #> ZNF326       .  . ...... #> ZNF329       .  . ...... #> ZNF330       .  . ...... #> ZNF334       .  . ...... #> ZNF335       .  . ...... #> ZNF337       .  . ...... #> ZNF34        .  . ...... #> ZNF341       .  1 ...... #> ZNF345       .  . ...... #> ZNF346       .  . ...... #> ZNF35        .  . ...... #> ZNF354A      .  . ...... #> ZNF354B      .  . ...... #> ZNF354C      .  . ...... #> ZNF358       1  . ...... #> ZNF362       .  . ...... #> ZNF365       .  . ...... #> ZNF367       .  . ...... #> ZNF382       .  . ...... #> ZNF383       .  . ...... #> ZNF384       .  . ...... #> ZNF385A      .  . ...... #> ZNF385B      .  . ...... #> ZNF385C      .  . ...... #> ZNF394       1  . ...... #> ZNF395       .  . ...... #> ZNF397       .  . ...... #> ZNF398       .  . ...... #> ZNF408       .  . ...... #> ZNF410       .  . ...... #> ZNF414       .  . ...... #> ZNF418       .  . ...... #> ZNF419       .  . ...... #> ZNF420       .  1 ...... #> ZNF423       .  . ...... #> ZNF426       .  . ...... #> ZNF428       .  1 ...... #> ZNF429       .  . ...... #> ZNF433       .  . ...... #> ZNF436       .  . ...... #> ZNF438       .  . ...... #> ZNF439       .  . ...... #> ZNF440       .  . ...... #> ZNF444       .  . ...... #> ZNF445       .  . ...... #> ZNF446       .  . ...... #> ZNF449       .  . ...... #> ZNF45        .  . ...... #> ZNF451       .  . ...... #> ZNF454       .  . ...... #> ZNF462       .  . ...... #> ZNF467       .  . ...... #> ZNF473       .  . ...... #> ZNF48        .  . ...... #> ZNF480       .  . ...... #> ZNF483       .  . ...... #> ZNF487       .  . ...... #> ZNF491       .  . ...... #> ZNF496       .  . ...... #> ZNF503       .  2 ...... #> ZNF507       .  . ...... #> ZNF511       .  1 ...... #> ZNF511-PRAP1 .  . ...... #> ZNF512       .  1 ...... #> ZNF512B      .  1 ...... #> ZNF513       .  1 ...... #> ZNF516       .  . ...... #> ZNF517       .  . ...... #> ZNF518A      .  . ...... #> ZNF518B      .  . ...... #> ZNF521       .  . ...... #> ZNF526       .  . ...... #> ZNF532       .  . ...... #> ZNF536       .  . ...... #> ZNF541       .  . ...... #> ZNF551       .  . ...... #> ZNF552       .  . ...... #> ZNF554       .  . ...... #> ZNF555       .  . ...... #> ZNF556       .  . ...... #> ZNF558       .  . ...... #> ZNF560       .  . ...... #> ZNF561       .  . ...... #> ZNF562       .  . ...... #> ZNF566       .  . ...... #> ZNF569       .  . ...... #> ZNF570       .  . ...... #> ZNF574       .  . ...... #> ZNF575       .  . ...... #> ZNF583       .  . ...... #> ZNF586       .  . ...... #> ZNF587B      .  . ...... #> ZNF592       .  1 ...... #> ZNF593       .  . ...... #> ZNF597       .  . ...... #> ZNF598       1  . ...... #> ZNF605       .  . ...... #> ZNF606       .  . ...... #> ZNF608       .  . ...... #> ZNF609       .  1 ...... #> ZNF610       .  . ...... #> ZNF618       .  . ...... #> ZNF622       .  . ...... #> ZNF623       .  . ...... #> ZNF627       .  . ...... #> ZNF628       .  . ...... #> ZNF629       .  . ...... #> ZNF638       .  1 ...... #> ZNF639       .  . ...... #> ZNF641       .  . ...... #> ZNF644       .  . ...... #> ZNF646       .  . ...... #> ZNF652       .  . ...... #> ZNF653       .  . ...... #> ZNF654       .  . ...... #> ZNF655       .  . ...... #> ZNF664       1  . ...... #> ZNF665       .  . ...... #> ZNF667       .  . ...... #> ZNF668       .  . ...... #> ZNF669       .  . ...... #> ZNF672       .  . ...... #> ZNF674       .  . ...... #> ZNF687       .  1 ...... #> ZNF688       .  . ...... #> ZNF689       .  . ...... #> ZNF69        .  . ...... #> ZNF691       .  . ...... #> ZNF692       .  . ...... #> ZNF697       .  . ...... #> ZNF7         .  . ...... #> ZNF700       .  . ...... #> ZNF703       .  . ...... #> ZNF704       .  . ...... #> ZNF705A      .  . ...... #> ZNF705B      .  . ...... #> ZNF705D      .  . ...... #> ZNF705E      .  . ...... #> ZNF705G      .  . ...... #> ZNF706       1  2 ...... #> ZNF711       .  . ...... #> ZNF713       .  . ...... #> ZNF721       .  . ...... #> ZNF727       .  . ...... #> ZNF736       .  . ...... #> ZNF740       .  . ...... #> ZNF746       .  . ...... #> ZNF747       .  . ...... #> ZNF749       .  . ...... #> ZNF750       .  . ...... #> ZNF76        .  1 ...... #> ZNF763       .  . ...... #> ZNF764       .  . ...... #> ZNF768       .  . ...... #> ZNF770       .  . ...... #> ZNF771       .  . ...... #> ZNF777       .  . ...... #> ZNF778       .  . ...... #> ZNF780A      .  . ...... #> ZNF781       .  . ...... #> ZNF784       .  . ...... #> ZNF786       .  . ...... #> ZNF787       .  1 ...... #> ZNF8         .  . ...... #> ZNF800       .  . ...... #> ZNF804A      .  . ...... #> ZNF821       .  . ...... #> ZNF827       .  . ...... #> ZNF830       .  . ...... #> ZNF839       .  . ...... #> ZNF845       .  . ...... #> ZNF850       .  . ...... #> ZNF879       .  . ...... #> ZNF891       .  . ...... #> ZNFX1        .  1 ...... #> ZNHIT1       1  1 ...... #> ZNHIT2       2  1 ...... #> ZNHIT3       .  1 ...... #> ZNHIT6       .  . ...... #> ZNRF1        .  . ...... #> ZNRF2        1  . ...... #> ZNRF3        .  . ...... #> ZPBP         .  1 ...... #> ZPBP2        .  . ...... #> ZPR1         .  . ...... #> ZRANB1       .  . ...... #> ZRANB2       1  2 ...... #> ZRANB3       .  . ...... #> ZRSR2        .  . ...... #> ZSCAN10      .  . ...... #> ZSCAN12      .  . ...... #> ZSCAN18      .  . ...... #> ZSCAN2       .  . ...... #> ZSCAN20      .  . ...... #> ZSCAN21      .  . ...... #> ZSCAN22      .  . ...... #> ZSCAN25      .  . ...... #> ZSCAN26      .  . ...... #> ZSCAN29      .  . ...... #> ZSWIM1       .  . ...... #> ZSWIM3       .  . ...... #> ZSWIM4       .  . ...... #> ZSWIM5       .  1 ...... #> ZSWIM6       .  . ...... #> ZSWIM7       .  . ...... #> ZSWIM8       1  . ...... #> ZW10         .  . ...... #> ZWILCH       .  . ...... #> ZWINT        1  7 ...... #> ZXDC         .  . ...... #> ZYG11B       .  . ...... #> ZYX          .  . ...... #> ZZEF1        .  . ...... #> ZZZ3         1  . ......"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GraphPlot — GraphPlot","title":"GraphPlot — GraphPlot","text":"GraphPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GraphPlot — GraphPlot","text":"","code":"GraphPlot(   node,   edge,   transition = NULL,   node_coord = c(\"x\", \"y\"),   node_group = NULL,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   use_triangular = c(\"upper\", \"lower\", \"both\"),   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_color = \"grey40\",   edge_size = c(0.2, 1),   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_color = \"black\",   transition_size = c(0.2, 1),   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GraphPlot — GraphPlot","text":"node  theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"GroupHeatmap — GroupHeatmap","title":"GroupHeatmap — GroupHeatmap","text":"GroupHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GroupHeatmap — GroupHeatmap","text":"","code":"GroupHeatmap(   srt,   features = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   grouping.var = NULL,   numerator = NULL,   cells = NULL,   aggregate_fun = base::mean,   exp_cutoff = 0,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 0,   features_label = NULL,   label_size = 10,   label_color = \"black\",   add_bg = FALSE,   bg_alpha = 0.5,   add_dot = FALSE,   dot_size = unit(8, \"mm\"),   add_reticle = FALSE,   reticle_color = \"grey\",   add_violin = FALSE,   fill.by = \"feature\",   fill_palette = \"Dark2\",   fill_palcolor = NULL,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else list(height =     grid::unit(1, \"cm\")),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GroupHeatmap — GroupHeatmap","text":"srt Seurat object. features vector gene names plot. group.Columns used calculate cell expression. One heatmap per column name. assay Assay used calculate expression. exp_method Method used calculate cell expression. feature_split vector group names features. db_combine  heatmap_palette Heatmap expression palette. cell_annotation_palette Column palette. feature_annotation_palette Feature groups palette.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GroupHeatmap — GroupHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 11:12:26.340955] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:12:29.519321] DEtest done #> Elapsed time:3.18 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1)  ht2 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\",   nlabel = 10, show_row_names = FALSE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   ht3 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   nlabel = 20, show_row_names = FALSE,   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-11 11:12:31.090782] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:13:04.283988] Enrichment done #> Elapsed time:33.19 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-11 10:42:42.167306 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-11 10:42:45.334488 de_top <- de_filter %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht4 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(height = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE, show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   ht5 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(width = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE,   flip = TRUE, column_title_rot = 45, show_column_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   ht6 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, fill.by = \"expression\", fill_palette = \"Blues\", cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot   ht8 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, group.by = \"CellType\", split.by = \"Phase\", n_split = 4,   cluster_rows = TRUE, cluster_columns = TRUE, cluster_row_slices = TRUE, cluster_column_slices = TRUE,   add_dot = TRUE, add_reticle = TRUE, heatmap_palette = \"viridis\",   show_row_names = TRUE, ht_params = list(row_gap = grid::unit(0, \"mm\"), row_names_gp = grid::gpar(fontsize = 10)) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht8$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony_integrate — Harmony_integrate","title":"Harmony_integrate — Harmony_integrate","text":"Harmony_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony_integrate — Harmony_integrate","text":"","code":"Harmony_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   Harmony_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   RunHarmony_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony_integrate — Harmony_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Integration_SCP — Integration_SCP","title":"Integration_SCP — Integration_SCP","text":"Single cell pipeline integration multiple datasets.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Integration_SCP — Integration_SCP","text":"","code":"Integration_SCP(   srtMerge = NULL,   batch,   append = TRUE,   srtList = NULL,   assay = NULL,   integration_method = \"Uncorrected\",   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Integration_SCP — Integration_SCP","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. integration_method Integration method. Can one \"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\". do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Integration_SCP — Integration_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Integration_SCP — Integration_SCP","text":"","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Uncorrected\" ) #> [2023-09-11 11:14:40.598916] Start Uncorrected_integrate #> [2023-09-11 11:14:40.612235] Spliting srtMerge into srtList by column tech... ... #> [2023-09-11 11:14:41.060745] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 11:14:43.760455] Finished checking. #> [2023-09-11 11:14:44.304588] Perform integration(Uncorrected) on the data... #> [2023-09-11 11:14:44.306074] Start Standard_SCP #> [2023-09-11 11:14:44.306224] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Number of available HVF: 2000 #> [2023-09-11 11:14:44.716404] Finished checking. #> [2023-09-11 11:14:44.71663] Perform ScaleData on the data... #> [2023-09-11 11:14:44.852253] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 11:14:46.147959] Perform FindClusters (louvain) on the data... #> [2023-09-11 11:14:46.270643] Reorder clusters... #> [2023-09-11 11:14:46.455036] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> [2023-09-11 11:14:55.950037] Standard_SCP done #> Elapsed time: 11.64 secs  #> [2023-09-11 11:14:56.216255] Uncorrected_integrate done #> Elapsed time: 15.62 secs  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\" ) #> [2023-09-11 11:14:56.810561] Start Seurat_integrate #> [2023-09-11 11:14:56.825317] Spliting srtMerge into srtList by column tech... ... #> [2023-09-11 11:14:57.295155] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 11:15:00.065003] Finished checking. #> [2023-09-11 11:15:00.51335] Perform FindIntegrationAnchors on the data... #> [2023-09-11 11:15:24.271317] Perform integration(Seurat) on the data... #> [2023-09-11 11:15:32.885684] Perform ScaleData on the data... #> [2023-09-11 11:15:33.029192] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 11:15:34.089337] Perform FindClusters (louvain) on the data... #> [2023-09-11 11:15:34.253438] Reorder clusters... #> [2023-09-11 11:15:34.480045] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-11 11:15:43.777685] Seurat_integrate done #> Elapsed time: 46.97 secs  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   if (FALSE) { integration_methods <- c(\"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\") for (method in integration_methods) {   panc8_sub <- Integration_SCP(     srtMerge = panc8_sub, batch = \"tech\",     integration_method = method, linear_reduction_dims_use = 1:50, nonlinear_reduction = \"umap\"   )   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(method, \"UMAP2D\"), theme_use = \"theme_blank\")) }  nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\",   nonlinear_reduction = nonlinear_reductions ) for (nr in nonlinear_reductions) {   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(\"Seurat\", nr, \"2D\"), theme_use = \"theme_blank\")) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"LIGER_integrate — LIGER_integrate","title":"LIGER_integrate — LIGER_integrate","text":"LIGER_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LIGER_integrate — LIGER_integrate","text":"","code":"LIGER_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   LIGER_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   optimizeALS_params = list(),   quantilenorm_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LIGER_integrate — LIGER_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":null,"dir":"Reference","previous_headings":"","what":"LineagePlot — LineagePlot","title":"LineagePlot — LineagePlot","text":"LineagePlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LineagePlot — LineagePlot","text":"","code":"LineagePlot(   srt,   lineages,   weights = NULL,   reduction = NULL,   dims = c(1, 2),   cells = NULL,   trim = c(0.01, 0.99),   span = 0.75,   palette = \"Dark2\",   palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   linewidth = 1,   line_bg = \"white\",   line_bg_stroke = 0.5,   whiskers = FALSE,   whiskers_linewidth = 0.5,   whiskers_alpha = 0.5,   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LineagePlot — LineagePlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"LineagePlot — LineagePlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3))  LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3), whiskers = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":null,"dir":"Reference","previous_headings":"","what":"ListDB — ListDB","title":"ListDB — ListDB","text":"ListDB","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ListDB — ListDB","text":"","code":"ListDB(species = \"Homo_sapiens\", db = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ListDB — ListDB","text":"db","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ListDB — ListDB","text":"","code":"ListDB(species = \"Homo_sapiens\") #> [1] identifier version    comment    timestamp  date       db_version db_name    file       #> <0 rows> (or 0-length row.names) ListDB(species = \"Mus_musculus\") #>                                                         identifier version                                      comment #> 1 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7             6.0.0 nterm:5960|Mus_musculus-DO #> 2 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7 2023-09-11 06:00 nterm:10294|Mus_musculus-MP #> 3 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:16027|Mus_musculus-GO_BP #> 4 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          3.17.0 nterm:56|Mus_musculus-Enzyme #> 5 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:11|Mus_musculus-GeneType #> 6 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7      3.17.0 nterm:23|Mus_musculus-Chromosome #> 7 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7         VerSeDa nterm:1|Mus_musculus-VerSeDa #> 8 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7               CSPA nterm:1|Mus_musculus-CSPA #> 9 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          AnimalTFDB4 nterm:2|Mus_musculus-TF #>    timestamp                       date                   db_version                 db_name #> 1 1694429772 2023-09-11 10:56:12.422143             6.0.0 nterm:5960         Mus_musculus-DO #> 2 1694429767 2023-09-11 10:56:06.655559 2023-09-11 06:00 nterm:10294         Mus_musculus-MP #> 3 1694429545 2023-09-11 10:52:24.793652           3.17.0 nterm:16027      Mus_musculus-GO_BP #> 4 1694429096  2023-09-11 10:44:55.78985              3.17.0 nterm:56     Mus_musculus-Enzyme #> 5 1694429090 2023-09-11 10:44:50.057727              3.17.0 nterm:11   Mus_musculus-GeneType #> 6 1694429041 2023-09-11 10:44:00.619535              3.17.0 nterm:23 Mus_musculus-Chromosome #> 7 1694428992 2023-09-11 10:43:12.443445              VerSeDa nterm:1    Mus_musculus-VerSeDa #> 8 1694428965 2023-09-11 10:42:45.334488                 CSPA nterm:1       Mus_musculus-CSPA #> 9 1694428962 2023-09-11 10:42:42.167306          AnimalTFDB4 nterm:2         Mus_musculus-TF #>                                                                    file #> 1 /home/runner/.cache/R/R.cache/792dd0f1ca33ed8236cf6e82be723937.Rcache #> 2 /home/runner/.cache/R/R.cache/e3a96754e4b5d986a6017b896f7a93d7.Rcache #> 3 /home/runner/.cache/R/R.cache/42b4d036008b98824957461afba8e2f3.Rcache #> 4 /home/runner/.cache/R/R.cache/008eb78c5dea0f0a9c643a671db7ba86.Rcache #> 5 /home/runner/.cache/R/R.cache/feae616aade8debb4c248b537cbdaf65.Rcache #> 6 /home/runner/.cache/R/R.cache/e2c36a88c14e46ebb8d542a1faefd195.Rcache #> 7 /home/runner/.cache/R/R.cache/c81fdce160dcfca80a3a94cacd3ca65b.Rcache #> 8 /home/runner/.cache/R/R.cache/267624ab3d48b245ce01deac5165a7b1.Rcache #> 9 /home/runner/.cache/R/R.cache/82f852e1d9ed5c0a5ad672b843c18742.Rcache"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"MNN_integrate — MNN_integrate","title":"MNN_integrate — MNN_integrate","text":"MNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MNN_integrate — MNN_integrate","text":"","code":"MNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   mnnCorrect_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MNN_integrate — MNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"PAGA plot — PAGAPlot","title":"PAGA plot — PAGAPlot","text":"PAGA plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PAGA plot — PAGAPlot","text":"","code":"PAGAPlot(   srt,   paga = srt@misc$paga,   type = \"connectivities\",   reduction = NULL,   dims = c(1, 2),   cells = NULL,   show_transition = FALSE,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_size = c(0.2, 1),   edge_color = \"grey40\",   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_size = c(0.2, 1),   transition_color = \"black\",   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = \"PAGA\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PAGA plot — PAGAPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PAGA plot — PAGAPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. PAGAPlot(pancreas_sub)  PAGAPlot(pancreas_sub, type = \"connectivities_tree\")  PAGAPlot(pancreas_sub, reduction = \"PCA\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, label = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE, label_repel = TRUE)  PAGAPlot(pancreas_sub, edge_line = \"curved\")  PAGAPlot(pancreas_sub, node_size = \"GroupSize\")  PAGAPlot(pancreas_sub, node_highlight = \"Ductal\")  PAGAPlot(pancreas_sub, edge_highlight = paste(\"Pre-endocrine\", levels(pancreas_sub$SubCellType), sep = \"-\"))   pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ PAGAPlot(pancreas_sub, show_transition = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare the gene annotation databases — PrepareDB","title":"Prepare the gene annotation databases — PrepareDB","text":"Prepare gene annotation databases","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"PrepareDB(   species = c(\"Homo_sapiens\", \"Mus_musculus\"),   db = c(\"GO\", \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\", \"Reactome\",     \"ProteinComplex\", \"DGI\", \"MP\", \"DO\", \"HPO\", \"PFAM\", \"Chromosome\", \"GeneType\",     \"Enzyme\", \"TF\", \"CSPA\", \"Surfaceome\", \"SPRomeDB\", \"VerSeDa\", \"TFLink\", \"hTFtarget\",     \"TRRUST\", \"JASPAR\", \"ENCODE\", \"MSigDB\", \"CellTalk\", \"CellChat\"),   db_IDtypes = c(\"symbol\", \"entrez_id\", \"ensembl_id\"),   db_version = \"latest\",   db_update = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   biomart = NULL,   max_tries = 5,   custom_TERM2GENE = NULL,   custom_TERM2NAME = NULL,   custom_species = NULL,   custom_IDtype = NULL,   custom_version = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare the gene annotation databases — PrepareDB","text":"species species db Enrichment database name. db_update Whether update database latest version. custom_version","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare the gene annotation databases — PrepareDB","text":"list containing database.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"if (interactive()) {   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"GO_BP\")   ListDB(species = \"Homo_sapiens\", db = \"GO_BP\")   head(db_list[[\"Homo_sapiens\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Based on homologous gene conversion, prepare a gene annotation database that originally does not exist in the species.   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"MP\")   ListDB(species = \"Homo_sapiens\", db = \"MP\")   head(db_list[[\"Homo_sapiens\"]][[\"MP\"]][[\"TERM2GENE\"]])    # Prepare databases for other species   db_list <- PrepareDB(species = \"Macaca_fascicularis\", db = \"GO_BP\")   ListDB(species = \"Macaca_fascicularis\", db = \"GO_BP\")   head(db_list[[\"Macaca_fascicularis\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    db_list <- PrepareDB(species = \"Saccharomyces_cerevisiae\", db = \"GO_BP\")   ListDB(species = \"Saccharomyces_cerevisiae\", db = \"GO_BP\")   head(db_list[[\"Saccharomyces_cerevisiae\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Prepare databases for Arabidopsis (plant)   db_list <- PrepareDB(     species = \"Arabidopsis_thaliana\",     db = c(       \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\",       \"ENZYME\", \"Chromosome\"     ),     biomart = \"plants_mart\"   )   head(db_list[[\"Arabidopsis_thaliana\"]][[\"KEGG\"]][[\"TERM2GENE\"]])    # You can also build a custom database based on the gene sets you have   ccgenes <- CC_GenePrefetch(\"Homo_sapiens\")   custom_TERM2GENE <- rbind(     data.frame(term = \"S_genes\", gene = ccgenes[[\"cc_S_genes\"]]),     data.frame(term = \"G2M_genes\", gene = ccgenes[[\"cc_G2M_genes\"]])   )   str(custom_TERM2GENE)    # Set convert_species = TRUE to build a custom database for both species, with the name \"CellCycle\"   db_list <- PrepareDB(     species = c(\"Homo_sapiens\", \"Mus_musculus\"), db = \"CellCycle\", convert_species = TRUE,     custom_TERM2GENE = custom_TERM2GENE, custom_species = \"Homo_sapiens\", custom_IDtype = \"symbol\", custom_version = \"Seurat_v4\"   )   ListDB(db = \"CellCycle\")    db_list <- PrepareDB(species = \"Mus_musculus\", db = \"CellCycle\")   head(db_list[[\"Mus_musculus\"]][[\"CellCycle\"]][[\"TERM2GENE\"]]) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare SCP python environment — PrepareEnv","title":"Prepare SCP python environment — PrepareEnv","text":"Prepare SCP python environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare SCP python environment — PrepareEnv","text":"","code":"PrepareEnv(   conda = \"auto\",   miniconda_repo = \"https://repo.anaconda.com/miniconda\",   python_version = \"3.8\",   envname = NULL,   force = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare SCP python environment — PrepareEnv","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. miniconda_repo Repositories miniconda. Default https://repo.anaconda.com/miniconda python_version version python install. Default 3.8 envname name conda environment. force Whether force new environment created. TRUE, existing environment recreated. Default FALSE ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"Prepare Seurat object data SCExplorer hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"PrepareSCExplorer(   object,   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   assays = \"RNA\",   slots = c(\"counts\", \"data\"),   ignore_nlevel = 100,   write_tools = FALSE,   write_misc = FALSE,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Projection Plot — ProjectionPlot","title":"Projection Plot — ProjectionPlot","text":"Projection Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Projection Plot — ProjectionPlot","text":"","code":"ProjectionPlot(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   query_feature = NULL,   ref_feature = NULL,   query_reduction = \"ref.embeddings\",   ref_reduction = srt_query[[query_reduction]]@misc[[\"reduction.model\"]] %||% NULL,   query_param = list(palette = \"Set1\", cells.highlight = TRUE),   ref_param = list(palette = \"Paired\"),   xlim = NULL,   ylim = NULL,   pt.size = 0.8,   stroke.highlight = 0.5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Projection Plot — ProjectionPlot","text":"stroke.highlight","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Projection Plot — ProjectionPlot","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-11 11:16:42.071512] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"Attempt recover raw counts normalized matrix.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"RecoverCounts(   srt,   assay = NULL,   trans = c(\"expm1\", \"exp\", \"none\"),   min_count = c(1, 2, 3),   tolerance = 0.1,   sf = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"srt Seurat object. assay Name assay recover counts. trans transformation function applied data presumed log-normalized. min_count Minimum UMI count genes. tolerance recovering raw counts, nCount cell theoretically calculated integer. However, due decimal point preservation normalization, calculated nCount usually floating point number close integer. tolerance difference integer. Default 0.1 sf Set scaling factor manually. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"data(\"pancreas_sub\") raw_counts <- pancreas_sub@assays$RNA@counts  # Normalized the data pancreas_sub <- Seurat::NormalizeData(pancreas_sub)  # Now replace counts with the log-normalized data matrix pancreas_sub@assays$RNA@counts <- pancreas_sub@assays$RNA@data  # Recover the counts and compare with the raw counts matrix pancreas_sub <- RecoverCounts(pancreas_sub) #> The data is presumed to be log-normalized. #> Perform expm1 on the raw data. #> The presumed scale factor: 10000 identical(raw_counts, pancreas_sub@assays$RNA@counts) #> [1] TRUE"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename clusters for the Seurat object — RenameClusters","title":"Rename clusters for the Seurat object — RenameClusters","text":"Rename clusters Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"RenameClusters(   srt,   group.by,   nameslist = list(),   name = \"newclusters\",   keep_levels = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename clusters for the Seurat object — RenameClusters","text":"srt Seurat object. group.old group used rename cells. nameslist named list new cluster value. name name new cluster stored Seurat object. keep_levels old group factor, keep order levels.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"data(\"pancreas_sub\") levels(pancreas_sub@meta.data[[\"SubCellType\"]]) #> [1] \"Ductal\"        \"Ngn3 low EP\"   \"Ngn3 high EP\"  \"Pre-endocrine\" \"Beta\"          \"Alpha\"         \"Delta\"         #> [8] \"Epsilon\"        # Rename all clusters pancreas_sub <- RenameClusters(pancreas_sub, group.by = \"SubCellType\", nameslist = letters[1:8]) CellDimPlot(pancreas_sub, \"newclusters\")   # Rename specified clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"a\" = \"Alpha\", \"b\" = \"Beta\") ) CellDimPlot(pancreas_sub, \"newclusters\")   # Merge and rename clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"EndocrineClusters\" = c(\"Alpha\", \"Beta\", \"Epsilon\", \"Delta\")),   name = \"Merged\", keep_levels = TRUE ) CellDimPlot(pancreas_sub, \"Merged\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename features for the Seurat object — RenameFeatures","title":"Rename features for the Seurat object — RenameFeatures","text":"Rename features Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"RenameFeatures(srt, newnames = NULL, assays = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename features for the Seurat object — RenameFeatures","text":"srt Seurat object. newnames vector length features Seurat object, characters named old features. assays Assays rename.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"data(\"panc8_sub\") head(rownames(panc8_sub)) #> [1] \"A1BG\"   \"A1CF\"   \"A2M\"    \"A4GALT\" \"AAAS\"   \"AACS\"   # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_rename <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA head(rownames(panc8_rename)) #> [1] \"A1bg\"   \"A1cf\"   \"A2m\"    \"A4galt\" \"Aaas\"   \"Aacs\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with CSS method — RunCSSMap","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"Single-cell reference mapping CSS method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"RunCSSMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_css]]@assay.used,   ref_css = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\") #> [2023-09-11 11:16:53.047422] Start CSS_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunCSSMap(srt_query = srt_query, srt_ref = srt_ref, ref_css = \"CSS\", ref_umap = \"CSSUMAP2D\") #> Error: Cannot find 'CSS' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":null,"dir":"Reference","previous_headings":"","what":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"CellQC, doublet-calling run first reject abnormal cell data based median absolute deviation (MAD) outliers. doublet-calling outlier filtering, CellQC perform general QC (gene count, UMI count, etc.) reject cell data non-species interest based proportion number UMIs species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"RunCellQC(   srt,   assay = \"RNA\",   batch = NULL,   qc_metrics = c(\"doublets\", \"outlier\", \"umi\", \"gene\", \"mito\", \"ribo\", \"ribo_mito_ratio\",     \"species\"),   return_filtered = FALSE,   db_method = \"scDblFinder\",   db_rate = NULL,   db_coefficient = 0.01,   outlier_cutoff = c(\"log10_nCount:lower:2.5\", \"log10_nCount:higher:5\",     \"log10_nFeature:lower:2.5\", \"log10_nFeature:higher:5\", \"featurecount_dist:lower:2.5\"),   outlier_n = 1,   UMI_threshold = 3000,   gene_threshold = 1000,   mito_threshold = 20,   mito_pattern = c(\"MT-\", \"Mt-\", \"mt-\"),   mito_gene = NULL,   ribo_threshold = 50,   ribo_pattern = c(\"RP[SL]\\\\d+\\\\w{0,1}\\\\d*$\", \"Rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\",     \"rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\"),   ribo_gene = NULL,   ribo_mito_ratio_range = c(1, Inf),   species = NULL,   species_gene_prefix = NULL,   species_percent = 95,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"srt Seurat object. assay Assay use. qc_metrics QC metrics applied. return_filtered Whether return cell-filtered Seurat object. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. outlier_cutoff MAD outlier metrics. See isOutlier. outlier_n Minimum number outlier metrics meet conditions determining outlier cells. Default 1. UMI_threshold UMI number threshold. Cells exceed threshold considered kept. Default 3000. gene_threshold Gene number threshold. Cells exceed threshold considered kept. Default 1000. mito_threshold Percentage UMI counts mitochondrial genes. Cells exceed threshold considered discarded. Default 20. mito_pattern Regex patterns match mitochondrial genes. mito_gene defined mitochondrial genes. features provided, ignore mito_pattern matching. ribo_threshold Percentage UMI counts ribosomal genes. Cells exceed threshold considered discarded. Default 50. ribo_pattern Regex patterns match ribosomal genes. ribo_gene defined ribosomal genes. features provided, ignore ribo_pattern matching. species Species used suffix QC metrics. first species interest. Default NULL. species_gene_prefix Species gene prefix used calculate QC metrics species. Default NULL. species_percent Percentage UMI counts first species. Cells exceed threshold considered kept. Default 95. seed Set random seed. Default 11.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"Returns Seurat object QC results stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"General quality control usually uses metrics gene count, UMI count, etc. addition, ribo content mito content can used QC indicators: mito content can used indication apoptosis, general threshold 20 ribo content cell type dependent, cell types even 50 however, ribo content single cell data can also indicate whether empty droplets, ribo content empty droplets usually high mito content low instead.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunCellQC(pancreas_sub) #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 26  #> ... 12 potential doublets  #> ... 14 outlier cells  #> ... 0 low-UMI cells  #> ... 0 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 974  CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" ) #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic? #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic?  table(pancreas_sub$CellQC) #>  #> Pass Fail  #>  974   26   data(\"ifnb_sub\") ifnb_sub <- RunCellQC(ifnb_sub, batch = \"stim\", UMI_threshold = 1000, gene_threshold = 550) #> === CTRL === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 315  #> ... 54 potential doublets  #> ... 8 outlier cells  #> ... 28 low-UMI cells  #> ... 250 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 685  #> === STIM === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 303  #> ... 42 potential doublets  #> ... 12 outlier cells  #> ... 25 low-UMI cells  #> ... 251 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 697  CellStatPlot(   srt = ifnb_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )  table(ifnb_sub$CellQC) #>  #> Pass Fail  #> 1382  618"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":null,"dir":"Reference","previous_headings":"","what":"Differential gene test — RunDEtest","title":"Differential gene test — RunDEtest","text":"Differential gene test","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Differential gene test — RunDEtest","text":"","code":"RunDEtest(   srt,   group_by = NULL,   group1 = NULL,   group2 = NULL,   cells1 = NULL,   cells2 = NULL,   features = NULL,   markers_type = c(\"all\", \"paired\", \"conserved\", \"disturbed\"),   grouping.var = NULL,   meta.method = c(\"maximump\", \"minimump\", \"wilkinsonp\", \"meanp\", \"sump\", \"votep\"),   test.use = \"wilcox\",   only.pos = TRUE,   fc.threshold = 1.5,   base = 2,   pseudocount.use = 1,   mean.fxn = NULL,   min.pct = 0.1,   min.diff.pct = -Inf,   max.cells.per.ident = Inf,   latent.vars = NULL,   min.cells.feature = 3,   min.cells.group = 3,   norm.method = \"LogNormalize\",   p.adjust.method = \"bonferroni\",   slot = \"data\",   assay = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Differential gene test — RunDEtest","text":"srt Seurat object group_by group_by fc.threshold fc.threshold min.pct min.pct verbose  force force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Differential gene test — RunDEtest","text":"","code":"library(dplyr) data(\"pancreas_sub\")  pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 11:18:09.566448] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:18:14.028181] DEtest done #> Elapsed time:4.46 secs AllMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(AllMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>            75            29            69            39            61            50            37            44  ht1 <- GroupHeatmap(pancreas_sub, features = AllMarkers$gene, feature_split = AllMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot   TopMarkers <- AllMarkers %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht2 <- GroupHeatmap(pancreas_sub, features = TopMarkers$gene, feature_split = TopMarkers$group1, group.by = \"SubCellType\", show_row_names = TRUE) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\", markers_type = \"paired\") #> [2023-09-11 11:18:16.244045] Start DEtest #> Workers: 1 #> Find paired markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:18:36.280496] DEtest done #> Elapsed time:20.04 secs PairedMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$PairedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(PairedMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>           893           787           680           571           645           575           426           575  ht3 <- GroupHeatmap(pancreas_sub, features = PairedMarkers$gene, feature_split = PairedMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht3$plot   data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-11 11:18:44.940101] Start Seurat_integrate #> [2023-09-11 11:18:44.952297] Spliting srtMerge into srtList by column tech... ... #> [2023-09-11 11:18:45.402273] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 11:18:48.211344] Finished checking. #> [2023-09-11 11:18:48.659393] Perform FindIntegrationAnchors on the data... #> [2023-09-11 11:19:11.456027] Perform integration(Seurat) on the data... #> [2023-09-11 11:19:19.512834] Perform ScaleData on the data... #> [2023-09-11 11:19:19.654579] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 11:19:20.787142] Perform FindClusters (louvain) on the data... #> [2023-09-11 11:19:20.951039] Reorder clusters... #> [2023-09-11 11:19:21.134693] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-11 11:19:31.337471] Seurat_integrate done #> Elapsed time: 46.4 secs  CellDimPlot(panc8_sub, group.by = c(\"celltype\", \"tech\"))   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"conserved\") #> [2023-09-11 11:19:32.112208] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: No group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: Only a single group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: Only a single group was tested #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:20:02.657488] DEtest done #> Elapsed time:30.55 secs ConservedMarkers1 <- filter(panc8_sub@tools$DEtest_celltype$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers1$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 34                 47                145                 89                171                 16  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                  8                  0                  0                128                152                105  #>            schwann  #>                 16  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers1$gene, feature_split = ConservedMarkers1$group1,   group.by = \"tech\", split.by = \"celltype\", within_groups = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"tech\", grouping.var = \"celltype\", markers_type = \"conserved\") #> [2023-09-11 11:20:10.365828] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: activated_stellate has fewer than 3 cells. Skipping activated_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:20:33.685683] DEtest done #> Elapsed time:23.32 secs ConservedMarkers2 <- filter(panc8_sub@tools$DEtest_tech$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers2$group1) #>  #>     celseq    celseq2 fluidigmc1     indrop  smartseq2  #>         29         11         61         52         22  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers2$gene, feature_split = ConservedMarkers2$group1,   group.by = \"tech\", split.by = \"celltype\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"disturbed\") #> [2023-09-11 11:20:36.234669] Start DEtest #> Workers: 1 #> Find disturbed markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                   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      |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:21:03.008959] DEtest done #> Elapsed time:26.77 secs DisturbedMarkers <- filter(panc8_sub@tools$DEtest_celltype$DisturbedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1 & var1 == \"smartseq2\") table(DisturbedMarkers$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 37                117                 71                116                  5                  6  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 16                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht5 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers$gene, feature_split = DisturbedMarkers$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   gene_specific <- names(which(table(DisturbedMarkers$gene) == 1)) DisturbedMarkers_specific <- DisturbedMarkers[DisturbedMarkers$gene %in% gene_specific, ] table(DisturbedMarkers_specific$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                  3                 67                 27                 61                  4                  3  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 13                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht6 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(panc8_sub,   slot = \"data\", aggregate_fun = function(x) mean(expm1(x)) + 1,   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", grouping.var = \"tech\", numerator = \"smartseq2\" ) #> Warning: When 'grouping.var' is specified, 'exp_method' can only be 'log2fc' #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":null,"dir":"Reference","previous_headings":"","what":"Run DiffusionMap(DM) — RunDM","title":"Run DiffusionMap(DM) — RunDM","text":"Run DM dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run DiffusionMap(DM) — RunDM","text":"","code":"RunDM(object, ...)  # S3 method for Seurat RunDM(   object,   reduction = \"pca\",   dims = 1:30,   features = NULL,   assay = NULL,   slot = \"data\",   graph = NULL,   neighbor = NULL,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   reduction.name = \"dm\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for matrix RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   assay = NULL,   slot = \"data\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for Neighbor RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   slot = \"data\",   assay = NULL,   reduction.key = \"DM_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run DiffusionMap(DM) — RunDM","text":"object  ...  assay Name Assay dm run . slot Name slot dm run . graph  ndcs Total Number DM compute store (2 default). reduction.name dimensional reduction name, 'dm' default reduction.key dimensional reduction key, specifies string number dimension names. \"DM_\" default. seed.use Set random seed. default, sets seed 42. Setting NULL set seed. verbose Show progressbar progress information","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run DiffusionMap(DM) — RunDM","text":"Returns Seurat object DM calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Run dimensionality reduction — RunDimReduction","title":"Run dimensionality reduction — RunDimReduction","text":"Run dimensionality reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run dimensionality reduction — RunDimReduction","text":"","code":"RunDimReduction(   srt,   prefix = \"\",   features = NULL,   assay = NULL,   slot = \"data\",   linear_reduction = NULL,   linear_reduction_dims = 50,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = NULL,   nonlinear_reduction_dims = 2,   reduction_use = NULL,   reduction_dims = NULL,   graph_use = NULL,   neighbor_use = NULL,   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   verbose = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run dimensionality reduction — RunDimReduction","text":"srt Seurat object. prefix prefix used name result. features Use features expression data run linear nonlinear dimensionality reduction. assay Specific assay get data . slot Specific slot get data . linear_reduction Method linear dimensionality reduction. Options \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Total number dimensions compute store linear_reduction. linear_reduction_params parameters passed linear_reduction method. force_linear_reduction Whether force linear dimensionality reduction. nonlinear_reduction Method nonlinear dimensionality reduction. Options \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\" nonlinear_reduction_dims Total number dimensions compute store nonlinear_reduction. reduction_use dimensional reduction use input nonlinear_reduction. reduction_dims dimensions use input nonlinear_reduction, used features NULL. graph_use Name graph use nonlinear_reduction. neighbor_use Name neighbor use nonlinear_reduction. nonlinear_reduction_params parameters passed nonlinear_reduction method. force_nonlinear_reduction Whether force nonlinear dimensionality reduction. verbose Show messages. seed Set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Identification heterotypic (neotypic) doublets single-cell RNAseq data.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"RunDoubletCalling(   srt,   assay = \"RNA\",   db_method = \"scDblFinder\",   db_rate = ncol(srt)/1000 * 0.01,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"srt Seurat object. assay Assay use. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. ... Arguments passed corresponding doublet-calling method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Returns Seurat object doublet prediction results prediction scores stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDoubletCalling(pancreas_sub, db_method = \"scDblFinder\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicEnrichment — RunDynamicEnrichment","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"RunDynamicEnrichment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"RunDynamicEnrichment(   srt,   lineages,   score_method = \"AUCell\",   ncore = 1,   slot = \"data\",   assay = NULL,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = \"Lineage1\", n_candidates = 200) #> [2023-09-11 11:21:46.730611] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 199 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:21:57.717302] RunDynamicFeatures done #> Elapsed time:10.99 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 4 ) #> 146 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot   pancreas_sub <- RunDynamicEnrichment(   srt = pancreas_sub,   lineages = \"Lineage1\",   score_method = \"AUCell\",   db = \"GO_BP\",   species = \"Mus_musculus\" ) #> [2023-09-11 11:22:00.246172] Start RunDynamicFeatures #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2738 #> [2023-09-11 11:22:05.397151] Start CellScoring #> Workers: 1 #> Warning: Feature names cannot have underscores ('_'), replacing with dashes ('-') #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from go_bp_ to gobp_ #> [2023-09-11 11:24:28.185801] CellScoring done #> Elapsed time:2.38 mins #> [2023-09-11 11:24:28.188118] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2738 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:25:06.423359] RunDynamicFeatures done #> Elapsed time:38.24 secs #> [2023-09-11 11:25:06.423984] RunDynamicEnrichment done #> Elapsed time:3.1 mins ht2 <- DynamicHeatmap(   srt = pancreas_sub,   assay = \"GO_BP\",   lineages = \"Lineage1_GO_BP\",   cell_annotation = \"SubCellType\",   n_split = 4,   split_method = \"kmeans-peaktime\" ) #> 1856 features from Lineage1_GO_BP passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> GO-BP-2..deoxyribonucleotide.biosynthetic.process,GO-BP-2..deoxyribonucleotide.metabolic.process,GO-BP-ADP.metabolic.process,GO-BP-ATP.biosynthetic.process,GO-BP-ATP.metabolic.process,GO-BP-B.cell.activation,GO-BP-B.cell.apoptotic.process,GO-BP-B.cell.proliferation,GO-BP-CD4.positive..alpha.beta.T.cell.activation,GO-BP-DNA.conformation.change... #> Warning: The values in the 'counts' slot are non-integer. Set the library size to 1. #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicFeatures — RunDynamicFeatures","title":"RunDynamicFeatures — RunDynamicFeatures","text":"RunDynamicFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"RunDynamicFeatures(   srt,   lineages,   features = NULL,   suffix = lineages,   n_candidates = 1000,   minfreq = 5,   family = NULL,   slot = \"counts\",   assay = NULL,   libsize = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicFeatures — RunDynamicFeatures","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-11 11:25:26.011414] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:25:51.114722] RunDynamicFeatures done #> Elapsed time:25.1 secs names(pancreas_sub@tools$DynamicFeatures_Lineage1) #> [1] \"DynamicFeatures\" \"raw_matrix\"      \"fitted_matrix\"   \"upr_matrix\"      \"lwr_matrix\"      \"libsize\"         #> [7] \"lineages\"        \"family\"          head(pancreas_sub@tools$DynamicFeatures_Lineage1$DynamicFeatures) #>      features exp_ncells      r.sq  dev.expl peaktime valleytime pvalue padjust #> Gcg       Gcg        187 0.4655182 0.8691204 30.15024 24.1773998      0       0 #> Iapp     Iapp        334 0.4034078 0.7935303 30.15024  0.2290427      0       0 #> Pyy       Pyy        478 0.4559669 0.7388797 27.49398 15.9875637      0       0 #> Ppy       Ppy         88 0.1095566 0.6091776 30.15024  9.5549970      0       0 #> Gast     Gast        111 0.0591293 0.6073730 29.50531 10.7006670      0       0 #> Chgb     Chgb        346 0.4033797 0.7620188 23.04485 11.4825349      0       0 ht <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   cell_annotation = \"SubCellType\",   n_split = 6, reverse_ht = \"Lineage1\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht$plot   DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"Perform enrichment analysis(-representation) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"RunEnrichment(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   geneID = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff universe universe","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 11:26:01.232647] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:26:04.425897] DEtest done #> Elapsed time:3.19 secs pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-11 11:26:04.428584] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:26:47.928581] Enrichment done #> Elapsed time:43.5 secs EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   db = c(\"MSigDB\", \"MSigDB_MH\"), species = \"Mus_musculus\" ) #> [2023-09-11 11:26:48.178432] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MSigDB #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:28:29.976308] Enrichment done #> Elapsed time:1.7 mins EnrichmentPlot(pancreas_sub, db = \"MSigDB\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.  EnrichmentPlot(pancreas_sub, db = \"MSigDB_MH\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Remove redundant GO terms pancreas_sub <- RunEnrichment(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-11 11:28:30.534852] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:29:59.595545] Enrichment done #> Elapsed time:1.48 mins EnrichmentPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Use a combined database pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-11 11:29:59.871961] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: MP version:2023-09-11 06:00 nterm:10294 created:2023-09-11 10:56:06.655559 #> Preparing database: KEGG #> Preparing database: WikiPathway #> Preparing database: Reactome #> Preparing database: PFAM #> Convert ID types for the database: KEGG #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 9248 genes mapped with entrez_id #> ============================== #> 9248 genes mapped #> 86 genes unmapped #> ============================== #> Convert ID types for the database: WikiPathway #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 4560 genes mapped with entrez_id #> ============================== #> 4560 genes mapped #> 0 genes unmapped #> ============================== #> Convert ID types for the database: Reactome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 8562 genes mapped with entrez_id #> ============================== #> 8562 genes mapped #> 6 genes unmapped #> ============================== #> Convert ID types for the database: PFAM #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 19463 genes mapped with entrez_id #> ============================== #> 19463 genes mapped #> 73 genes unmapped #> ============================== #> Create 'Combined' database ... #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:31:38.420422] Enrichment done #> Elapsed time:1.64 mins EnrichmentPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Or use \"geneID\" and \"geneID_groups\" as input to run enrichment de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05) enrich_out <- RunEnrichment(geneID = de_df[[\"gene\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-11 11:31:38.745922] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:32:25.585264] Enrichment done #> Elapsed time:46.84 secs EnrichmentPlot(res = enrich_out, db = \"GO_BP\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":null,"dir":"Reference","previous_headings":"","what":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"Create force-directed layout developed Fruchterman Reingold.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"","code":"RunFR(object, ...)  # S3 method for Seurat RunFR(   object,   reduction = NULL,   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   graph = NULL,   neighbor = NULL,   k.param = 20,   ndim = 2,   niter = 500,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"FR\",   reduction.key = \"FR_\",   ... )  # S3 method for default RunFR(   object,   ndim = 2,   niter = 500,   reduction.key = \"FR_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run GLMPCA — RunGLMPCA","title":"Run GLMPCA — RunGLMPCA","text":"Run GLMPCA","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run GLMPCA — RunGLMPCA","text":"","code":"RunGLMPCA(object, ...)  # S3 method for Seurat RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for Assay RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for default RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run GLMPCA — RunGLMPCA","text":"object Seurat object ...  L number dimensions return (defaults 5) assay Assay use, defaults default assay features list features use performing GLM-PCA. null, defaults variable features. reduction.name Name store resulting DimReduc object . Defaults glmpca reduction.key Key resulting DimReduc. Defaults GLMPC_","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run GLMPCA — RunGLMPCA","text":"Seurat object containing output GLMPCA stored DimReduc object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"Perform enrichment analysis(GSEA) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"RunGSEA(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\",   geneID = NULL,   geneScore = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 11:32:29.929962] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:37:30.168542] DEtest done #> Elapsed time:5 mins pancreas_sub <- RunGSEA(pancreas_sub,   group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\", db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-11 11:37:30.171542] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:42:53.295972] GSEA done #> Elapsed time:5.39 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\"))   # Remove redundant GO terms pancreas_sub <- RunGSEA(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-11 11:42:54.889471] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:48:46.911094] GSEA done #> Elapsed time:5.87 mins GSEAPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\")   # Use a combined database pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-11 11:48:47.209185] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: KEGG version:Release 107.0+/09-10, Sep 23 nterm:351 created:2023-09-11 11:30:40.951254 #> Loading cached db: WikiPathway version:20230910 nterm:200 created:2023-09-11 11:30:48.472652 #> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-11 11:30:59.894706 #> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-11 11:31:20.964269 #> Loading cached db: MP version:2023-09-11 06:00 nterm:10294 created:2023-09-11 10:56:06.655559 #> Create 'Combined' database ... #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:50:34.775109] GSEA done #> Elapsed time:1.79 mins GSEAPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\")   # Or use \"geneID\", \"geneScore\" and \"geneID_groups\" as input to run GSEA de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05) gsea_out <- RunGSEA(geneID = de_df[[\"gene\"]], geneScore = de_df[[\"avg_log2FC\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-11 11:50:35.055415] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:56:04.905685] GSEA done #> Elapsed time:5.5 mins GSEAPlot(res = gsea_out, db = \"GO_BP\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony single cell integration — RunHarmony2","title":"Harmony single cell integration — RunHarmony2","text":"Run Harmony algorithm Seurat pipelines.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony single cell integration — RunHarmony2","text":"","code":"RunHarmony2(object, ...)  # S3 method for Seurat RunHarmony2(   object,   group.by.vars,   reduction = \"pca\",   dims.use = NULL,   theta = NULL,   lambda = NULL,   sigma = 0.1,   nclust = NULL,   tau = 0,   block.size = 0.05,   max.iter.harmony = 10,   max.iter.cluster = 20,   epsilon.cluster = 1e-05,   epsilon.harmony = 1e-04,   plot_convergence = FALSE,   verbose = TRUE,   reference_values = NULL,   reduction.save = \"Harmony\",   assay.use = \"RNA\",   project.dim = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony single cell integration — RunHarmony2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with KNN method — RunKNNMap","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"Single-cell reference mapping KNN method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"RunKNNMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = NULL,   ref_umap = NULL,   ref_group = NULL,   features = NULL,   nfeatures = 2000,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-11 11:56:09.059178] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using similarity. — RunKNNPredict","title":"Annotate single cells using similarity. — RunKNNPredict","text":"Annotate single cells using similarity.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"RunKNNPredict(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   return_full_distance_matrix = FALSE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   nn_method = NULL,   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using similarity. — RunKNNPredict","text":"srt_query seurat object. bulk_ref cell atlas matrix, e.g., SCP::ref_scHCL query_assay assay used srt_query DE_threshold Threshold used filter DE features. Default \"p_val < 0.05\". using \"roc\" test, DE_threshold needs reassigned. e.g. \"power > 0.5\" k Number predictions return. prefix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"# Annotate cells using bulk RNA-seq data data(\"pancreas_sub\") data(\"ref_scMCA\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 11:56:10.861283] Start Standard_SCP #> [2023-09-11 11:56:10.861518] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 11:56:11.99738] Finished checking. #> [2023-09-11 11:56:11.997564] Perform ScaleData on the data... #> [2023-09-11 11:56:12.123147] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 11:56:12.906044] Perform FindClusters (louvain) on the data... #> [2023-09-11 11:56:13.032906] Reorder clusters... #> [2023-09-11 11:56:13.269741] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 11:56:22.708196] Standard_SCP done #> Elapsed time: 11.85 secs  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Removal of low credible cell types from the predicted results pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 30) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate clusters using bulk RNA-seq data pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, query_group = \"SubCellType\", bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate using single cell RNA-seq data data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-11 11:56:27.516869] Spliting srtMerge into srtList by column tech... ... #> [2023-09-11 11:56:28.003718] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 11:56:30.868002] Finished checking.  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, srt_ref = panc8_sub, ref_group = \"celltype\") #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", ref_collapsing = FALSE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_prob\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\" ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   # Annotate with DE gene instead of HVF pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"ref\" ) #> [2023-09-11 11:56:35.089964] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:56:44.407463] DEtest done #> Elapsed time:9.32 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 2000 #> Use 1865 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"both\" ) #> [2023-09-11 11:56:45.445381] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:56:48.076169] DEtest done #> Elapsed time:2.63 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the query data: 956 #> [2023-09-11 11:56:48.352055] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 11:56:57.929156] DEtest done #> Elapsed time:9.58 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 252 #> Use 67 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":null,"dir":"Reference","previous_headings":"","what":"Run LargeVis — RunLargeVis","title":"Run LargeVis — RunLargeVis","text":"Run LargeVis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run LargeVis — RunLargeVis","text":"","code":"RunLargeVis(object, ...)  # S3 method for Seurat RunLargeVis(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.name = \"largevis\",   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunLargeVis(   object,   assay = NULL,   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run LargeVis — RunLargeVis","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":null,"dir":"Reference","previous_headings":"","what":"Run multi-dimensional scaling(MDS) — RunMDS","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Run MDS dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"","code":"RunMDS(object, ...)  # S3 method for Seurat RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"mds\",   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunMDS(   object,   assay = NULL,   slot = \"data\",   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   seed.use = 42,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"object object ...  assay Name Assay mds run . slot Name slot mds run . features Features compute mds . features=NULL, mds run using variable features Assay. nmds Total Number MDS compute store (50 default). rev.mds default computes mds cell x gene matrix. Setting true compute gene x cell matrix. ndims.print MDS print genes . nfeatures.print Number genes print MDS. reduction.name dimensional reduction name, 'mds' default reduction.key dimensional reduction key, specifies string number dimension names. \"MDS_\" default. verbose Print top genes associated high/low loadings MDS. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Returns Seurat object MDS calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle2 analysis — RunMonocle2","title":"Run Monocle2 analysis — RunMonocle2","text":"Run Monocle2 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"RunMonocle2(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   expressionFamily = \"negbinomial.size\",   features = NULL,   feature_type = \"HVF\",   disp_filter = \"mean_expression >= 0.1 & dispersion_empirical >= 1 * dispersion_fit\",   max_components = 2,   reduction_method = \"DDRTree\",   norm_method = \"log\",   residualModelFormulaStr = NULL,   pseudo_expr = 1,   root_state = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle2 analysis — RunMonocle2","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   pancreas_sub <- RunMonocle2(srt = pancreas_sub, annotation = \"CellType\")   names(pancreas_sub@tools$Monocle2)   trajectory <- pancreas_sub@tools$Monocle2$trajectory    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3)    pancreas_sub <- RunMonocle2(     srt = pancreas_sub, annotation = \"CellType\",     feature_type = \"Disp\", disp_filter = \"mean_expression >= 0.01 & dispersion_empirical >= 1 * dispersion_fit\"   )   trajectory <- pancreas_sub@tools$Monocle2$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle3 analysis — RunMonocle3","title":"Run Monocle3 analysis — RunMonocle3","text":"Run Monocle3 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"RunMonocle3(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   reduction = DefaultReduction(srt),   clusters = NULL,   graph = NULL,   partition_qval = 0.05,   k = 50,   cluster_method = \"louvain\",   num_iter = 2,   resolution = NULL,   use_partition = NULL,   close_loop = TRUE,   learn_graph_control = NULL,   root_pr_nodes = NULL,   root_cells = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle3 analysis — RunMonocle3","text":"clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   # Use Monocle clusters to infer the trajectories   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", reduction = \"UMAP\")   names(pancreas_sub@tools$Monocle3)   trajectory <- pancreas_sub@tools$Monocle3$trajectory   milestones <- pancreas_sub@tools$Monocle3$milestones    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory + milestones   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Select the lineage using monocle3::choose_graph_segments   cds <- pancreas_sub@tools$Monocle3$cds   cds_sub <- monocle3::choose_graph_segments(cds, starting_pr_node = NULL, ending_pr_nodes = NULL)   pancreas_sub$Lineages_1 <- NA   pancreas_sub$Lineages_1[colnames(cds_sub)] <- pancreas_sub$Monocle3_Pseudotime[colnames(cds_sub)]   CellDimPlot(pancreas_sub, group.by = \"SubCellType\", lineages = \"Lineages_1\", lineages_span = 0.1, theme_use = \"theme_blank\")    # Use Seurat clusters to infer the trajectories   pancreas_sub <- Standard_SCP(pancreas_sub)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE, theme_use = \"theme_blank\")   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", clusters = \"Standardclusters\")   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Use custom graphs and cell clusters to infer the partitions and trajectories, respectively   pancreas_sub <- Standard_SCP(pancreas_sub, cluster_resolution = 5)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE)   pancreas_sub <- RunMonocle3(     srt = pancreas_sub, annotation = \"CellType\",     clusters = \"Standardclusters\", graph = \"Standardpca_SNN\"   )   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Non-negative matrix factorization(NMF) — RunNMF","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Run NMF dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"","code":"RunNMF(object, ...)  # S3 method for Seurat RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"nmf\",   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunNMF(   object,   assay = NULL,   slot = \"data\",   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"object object ...  assay Name Assay nmf run . slot Name slot nmf run . features Features compute nmf . features=NULL, nmf run using variable features Assay. nbes Total Number BEs(\"basis experiment\", aka \"metagene\") compute store (50 default). rev.nmf default computes nmf cell x gene matrix. Setting true compute gene x cell matrix. ndims.print BEs print genes . nfeatures.print Number genes print . reduction.name dimensional reduction name, 'nmf' default reduction.key dimensional reduction key, specifies string number dimension names. \"BE_\" default. verbose Print top genes associated high/low loadings BEs. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Returns Seurat object NMF calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PAGA analysis — RunPAGA","title":"Run PAGA analysis — RunPAGA","text":"Run PAGA analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PAGA analysis — RunPAGA","text":"","code":"RunPAGA(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   use_rna_velocity = FALSE,   vkey = \"stochastic\",   embedded_with_PAGA = FALSE,   paga_layout = \"fr\",   threshold = 0.1,   point_size = 20,   infer_pseudotime = FALSE,   root_group = NULL,   root_cell = NULL,   n_dcs = 10,   n_branchings = 0,   min_group_size = 0.01,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PAGA analysis — RunPAGA","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. use_rna_velocity use_rna_velocity. vkey Key velocity. Default \"stochastic\". paga_layout Plotting layout computes positions. See See layout param scanpy.pl.paga function. threshold edge threshold. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run PAGA analysis — RunPAGA","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run PAGA analysis — RunPAGA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")  PAGAPlot(pancreas_sub, reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)   pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   embedded_with_PAGA = TRUE, infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase dpt_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M     0.08858810 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1     0.61145532 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M     0.10923140 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1     0.86335427 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M     0.03584586 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1     0.03778159 names(pancreas_sub@reductions) #> [1] \"PCA\"           \"UMAP\"          \"draw_graph_fr\" \"PAGAUMAP2D\"    \"diffmap\"       FeatureDimPlot(pancreas_sub, features = \"dpt_pseudotime\", reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PAGAUMAP2D\", paga = pancreas_sub@misc$paga)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with PCA method — RunPCAMap","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"Single-cell reference mapping PCA method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"RunPCAMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-11 11:57:49.314902] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunPCAMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PHATE — RunPHATE","title":"Run PHATE — RunPHATE","text":"Run PHATE","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PHATE — RunPHATE","text":"","code":"RunPHATE(object, ...)  # S3 method for Seurat RunPHATE(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.name = \"phate\",   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPHATE(   object,   assay = NULL,   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PHATE — RunPHATE","text":"object  ...  max_clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PaCMAP — RunPaCMAP","title":"Run PaCMAP — RunPaCMAP","text":"Run PaCMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PaCMAP — RunPaCMAP","text":"","code":"RunPaCMAP(object, ...)  # S3 method for Seurat RunPaCMAP(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.name = \"pacmap\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPaCMAP(   object,   assay = NULL,   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PaCMAP — RunPaCMAP","text":"object  ...  assay  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Palantir analysis — RunPalantir","title":"Run Palantir analysis — RunPalantir","text":"Run Palantir analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Palantir analysis — RunPalantir","text":"","code":"RunPalantir(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   dm_n_components = 10,   dm_alpha = 0,   dm_n_eigs = NULL,   early_group = NULL,   terminal_groups = NULL,   early_cell = NULL,   terminal_cells = NULL,   num_waypoints = 1200,   scale_components = TRUE,   use_early_cell_as_start = TRUE,   adjust_early_cell = FALSE,   adjust_terminal_cells = FALSE,   max_iterations = 25,   n_jobs = 8,   point_size = 20,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Palantir analysis — RunPalantir","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. n_jobs n_jobs. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Palantir analysis — RunPalantir","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Palantir analysis — RunPalantir","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPalantir(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   early_group = \"Ductal\", use_early_cell_as_start = TRUE,   terminal_groups = c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\") ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase palantir_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M          0.25910808 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1          0.49968980 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M          0.29036675 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1          0.69014101 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M          0.11107706 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1          0.03843483 #>                  palantir_diff_potential Delta_diff_potential Epsilon_diff_potential Alpha_diff_potential #> CAGCCGAAGCGATATA               1.1828661            0.3363345             0.09180837           0.10830487 #> AGTGTCATCGCCGTGA               1.1772545            0.3362934             0.08943487           0.10713285 #> GATGAAAAGTTGTAGA               1.1828661            0.3363345             0.09180837           0.10830487 #> CACAGTACATCCGTGG               0.9354271            0.2798339             0.02801623           0.06885154 #> CGGAGCTCATTGGGCC               1.1828661            0.3363345             0.09180837           0.10830487 #> AGAGCTTGTGTGACCC               1.1828661            0.3363345             0.09180837           0.10830487 #>                  Beta_diff_potential #> CAGCCGAAGCGATATA           0.4635523 #> AGTGTCATCGCCGTGA           0.4671389 #> GATGAAAAGTTGTAGA           0.4635523 #> CACAGTACATCCGTGG           0.6232984 #> CGGAGCTCATTGGGCC           0.4635523 #> AGAGCTTGTGTGACCC           0.4635523 FeatureDimPlot(pancreas_sub, c(\"palantir_pseudotime\", \"palantir_diff_potential\"))  FeatureDimPlot(pancreas_sub, paste0(c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\"), \"_diff_potential\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSCExplorer — RunSCExplorer","title":"RunSCExplorer — RunSCExplorer","text":"RunSCExplorer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSCExplorer — RunSCExplorer","text":"","code":"RunSCExplorer(   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   title = \"SCExplorer\",   initial_dataset = NULL,   initial_reduction = NULL,   initial_group = NULL,   initial_feature = NULL,   initial_assay = NULL,   initial_slot = NULL,   initial_label = \"No\",   initial_cell_palette = \"Paired\",   initial_feature_palette = \"Spectral\",   initial_theme = \"theme_scp\",   initial_size = 4,   initial_ncol = 3,   initial_arrange = \"Row\",   initial_dpi = 100,   workers = 2,   threads_per_workers = 10,   create_script = TRUE,   style_script = require(\"styler\", quietly = TRUE),   overwrite = FALSE,   return_app = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSCExplorer — RunSCExplorer","text":"workers","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSCExplorer — RunSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\")  PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\", overwrite = TRUE)  # Create the app.R script app <- RunSCExplorer(base_dir = \"./SCExplorer\", workers = 2, overwrite = TRUE) list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  # Run shiny app if (interactive()) {   shiny::runApp(app) } # Note: If SCP installed in the isolated environment using renv, you need to add `renv::activate(project = \"path/to/SCP_env\")` to the app.R script.  #################################################################################################################### # You can deploy the app on the self-hosted shiny server(https://www.rstudio.com/products/shiny/shiny-server/). # Or deploy the app on the website(https://www.shinyapps.io) for free:  ### step1: set the repository URL for Bioconductor packages and update them to the latest version # options(repos = BiocManager::repositories()) # BiocManager::install(ask = FALSE)  ### step2: install \"rsconnect\" package and authorize your account # install.packages(\"rsconnect\") # library(rsconnect) # setAccountInfo(name = \"\", token = \"\", secret = \"\")  ### step3: deploy the app # deployApp(\"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":null,"dir":"Reference","previous_headings":"","what":"Run scVelo analysis — RunSCVELO","title":"Run scVelo analysis — RunSCVELO","text":"scVelo scalable toolkit RNA velocity analysis single cells. function performs scVelo workflow R reticulate.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run scVelo analysis — RunSCVELO","text":"","code":"RunSCVELO(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   mode = \"stochastic\",   fitting_by = \"stochastic\",   magic_impute = FALSE,   knn = 5,   t = 2,   min_shared_counts = 30,   n_pcs = 30,   n_neighbors = 30,   approx = TRUE,   stream_smooth = NULL,   stream_density = 2,   arrow_length = 5,   arrow_size = 5,   arrow_density = 0.5,   denoise = FALSE,   denoise_topn = 3,   kinetics = FALSE,   kinetics_topn = 100,   calculate_velocity_genes = FALSE,   top_n = 6,   n_jobs = 1,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run scVelo analysis — RunSCVELO","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. mode mode. fitting_by fitting_by. min_shared_counts min_shared_counts. n_pcs n_pcs. n_neighbors n_neighbors. approx approx. stream_smooth stream_smooth. stream_density stream_density. arrow_length arrow_length. arrow_size arrow_size. arrow_density arrow_density. calculate_velocity_genes calculate_velocity_genes. n_jobs n_jobs. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat  h5ad h5ad file path.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run scVelo analysis — RunSCVELO","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run scVelo analysis — RunSCVELO","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase initial_size_unspliced #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M                   1587 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1                   1199 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M                   2166 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1                   1339 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M                    976 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1                    822 #>                  initial_size_spliced initial_size n_counts root_cells   end_points stochastic_self_transition #> CAGCCGAAGCGATATA                10653        10653 4571.989          0 1.452156e-03                  0.4485805 #> AGTGTCATCGCCGTGA                 4596         4596 4538.002          0 4.700293e-05                  0.3937627 #> GATGAAAAGTTGTAGA                14091        14091 4556.545          0 3.551841e-03                  0.7711352 #> CACAGTACATCCGTGG                 5484         5484 4488.308          0 1.154690e-03                  0.2689254 #> CGGAGCTCATTGGGCC                 7357         7357 4579.191          0 3.440304e-04                  0.2470511 #> AGAGCTTGTGTGACCC                 6498         6498 4593.732          0 1.423519e-04                  0.4078819 #>                  stochastic_length stochastic_confidence stochastic_confidence_transition stochastic_root_cells #> CAGCCGAAGCGATATA              4.17             0.8269730                       0.06003009                     0 #> AGTGTCATCGCCGTGA             18.09             0.9360172                       0.13206813                     0 #> GATGAAAAGTTGTAGA              4.66             0.8642706                       0.04803392                     0 #> CACAGTACATCCGTGG              6.85             0.7111084                       0.35759005                     0 #> CGGAGCTCATTGGGCC              7.28             0.7939473                       0.19816431                     0 #> AGAGCTTGTGTGACCC              6.88             0.8454575                       0.11833344                     0 #>                  stochastic_end_points stochastic_pseudotime nCount_Ms nFeature_Ms nCount_Mu nFeature_Mu #> CAGCCGAAGCGATATA          1.452156e-03             0.2102930  4585.044        3685  892.5218        3535 #> AGTGTCATCGCCGTGA          4.700293e-05             0.7906109  4675.374        3549  961.4076        3239 #> GATGAAAAGTTGTAGA          3.551841e-03             0.1551773  4567.841        3666  899.8371        3414 #> CACAGTACATCCGTGG          1.154690e-03             0.8539678  4538.791        3743  934.1198        3572 #> CGGAGCTCATTGGGCC          3.440304e-04             0.2245581  4573.531        3585  882.0175        3157 #> AGAGCTTGTGTGACCC          1.423519e-04             0.2058769  4626.373        3669  899.8281        3394 #>                  nCount_stochastic nFeature_stochastic nCount_variance_stochastic nFeature_variance_stochastic #> CAGCCGAAGCGATATA         147.76477                1862                  118.07200                          425 #> AGTGTCATCGCCGTGA          70.10995                1542                  -27.08941                          209 #> GATGAAAAGTTGTAGA         140.92148                1752                  136.57796                          425 #> CACAGTACATCCGTGG         -35.27201                1435                  -61.89321                          243 #> CGGAGCTCATTGGGCC         185.67488                1857                   71.58423                          275 #> AGAGCTTGTGTGACCC         132.88978                1673                   31.84623                          266 #>                  nCount_velocity nFeature_velocity nCount_variance_velocity nFeature_variance_velocity #> CAGCCGAAGCGATATA       147.76477              1862                118.07200                        425 #> AGTGTCATCGCCGTGA        70.10995              1542                -27.08941                        209 #> GATGAAAAGTTGTAGA       140.92148              1752                136.57796                        425 #> CACAGTACATCCGTGG       -35.27201              1435                -61.89321                        243 #> CGGAGCTCATTGGGCC       185.67488              1857                 71.58423                        275 #> AGAGCTTGTGTGACCC       132.88978              1673                 31.84623                        266 names(pancreas_sub@assays) #> [1] \"RNA\"                 \"spliced\"             \"unspliced\"           \"Ms\"                  \"Mu\"                  #> [6] \"stochastic\"          \"variance_stochastic\" \"velocity\"            \"variance_velocity\"    FeatureDimPlot(pancreas_sub, c(\"stochastic_length\", \"stochastic_confidence\"))  FeatureDimPlot(pancreas_sub, \"stochastic_pseudotime\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 3 rows containing missing values (`geom_segment()`).   pancreas_sub <- Standard_SCP(pancreas_sub, normalization_method = \"SCT\", nonlinear_reduction = \"tsne\") #> [2023-09-11 11:59:13.467846] Start Standard_SCP #> [2023-09-11 11:59:13.468038] Checking srtList... ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Perform SCTransform on the data 1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 11:59:25.333979] Finished checking. #> [2023-09-11 11:59:25.334156] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 11:59:26.154647] Perform FindClusters (louvain) on the data... #> [2023-09-11 11:59:26.299792] Reorder clusters... #> [2023-09-11 11:59:26.593718] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> [2023-09-11 11:59:35.953828] Standard_SCP done #> Elapsed time: 22.49 secs  pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"SCT\", group_by = \"SubCellType\", linear_reduction = \"Standardpca\", nonlinear_reduction = \"StandardTSNE2D\") #> Assay 'RNA' is in the srt object but not converted. #> Assay 'Ms' is in the srt object but not converted. #> Assay 'Mu' is in the srt object but not converted. #> Assay 'stochastic' is in the srt object but not converted. #> Assay 'variance_stochastic' is in the srt object but not converted. #> Assay 'velocity' is in the srt object but not converted. #> Assay 'variance_velocity' is in the srt object but not converted. #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunScmap","title":"Annotate single cells using scmap. — RunScmap","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"RunScmap(   srt_query,   srt_ref,   ref_group = NULL,   method = \"scmapCluster\",   n_features = 500,   threshold = 0.5,   k = 10,   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunScmap","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-11 12:00:04.867381] Spliting srtMerge into srtList by column tech... ... #> [2023-09-11 12:00:05.43533] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:00:08.516436] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 12:00:12.142418] Start Standard_SCP #> [2023-09-11 12:00:12.14263] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:00:13.229823] Finished checking. #> [2023-09-11 12:00:13.230035] Perform ScaleData on the data... #> [2023-09-11 12:00:13.395782] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 12:00:14.173715] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:00:14.292792] Reorder clusters... #> [2023-09-11 12:00:14.558724] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:00:23.585417] Standard_SCP done #> Elapsed time: 11.44 secs  pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCluster\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCluster on the data... #> Perform scmapCluster on the data... #> Warning: Features Adcyap1, Cfc1, Col6a2, Col6a3, Crp, Ctrc, Gsta1, Lcn2, Loxl4, Mafa, Mt-atp6, Mt-co1, Mt-co2, Mt-co3, Mt-nd1, Mt-nd2, Mt-nd4, Mt-nd4l, Mt-nd5, Muc13, Serpina5, Tacstd2 are not present in the 'SCESet' object and therefore were not set. CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")   pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCell\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCell on the data... #> Perform scmapCell on the data... #> Perform scmapCell2Cluster on the data... CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Seurat method — RunSeuratMap","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"Single-cell reference mapping Seurat method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"RunSeuratMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   normalization.method = \"LogNormalize\",   reduction_project_method = \"pcaproject\",   k.anchor = 5,   k.filter = 200,   k.score = 30,   k.weight = 100,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-11 12:00:33.516227] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSeuratMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\", k.weight = 50) #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunSingleR","title":"Annotate single cells using scmap. — RunSingleR","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"RunSingleR(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   genes = \"de\",   de.method = \"wilcox\",   sd.thresh = 1,   de.n = NULL,   aggr.ref = FALSE,   aggr.args = list(),   quantile = 0.8,   fine.tune = TRUE,   tune.thresh = 0.05,   prune = TRUE,   BPPARAM = BiocParallel::bpparam(),   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunSingleR","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-11 12:00:35.419573] Spliting srtMerge into srtList by column tech... ... #> [2023-09-11 12:00:36.09141] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:00:38.998572] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 12:00:40.864315] Start Standard_SCP #> [2023-09-11 12:00:40.86452] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:00:41.977513] Finished checking. #> [2023-09-11 12:00:41.97773] Perform ScaleData on the data... #> [2023-09-11 12:00:42.100501] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 12:00:42.868567] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:00:42.990708] Reorder clusters... #> [2023-09-11 12:00:43.186483] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:00:52.23932] Standard_SCP done #> Elapsed time: 11.38 secs  pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"Standardclusters\", ref_group = \"celltype\", ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCluster on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")   pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = NULL, ref_group = \"celltype\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCell on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSlingshot — RunSlingshot","title":"RunSlingshot — RunSlingshot","text":"RunSlingshot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSlingshot — RunSlingshot","text":"","code":"RunSlingshot(   srt,   group.by,   reduction = NULL,   dims = NULL,   start = NULL,   end = NULL,   prefix = NULL,   reverse = FALSE,   align_start = FALSE,   show_plot = TRUE,   lineage_palette = \"Dark2\",   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSlingshot — RunSlingshot","text":"dims","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSlingshot — RunSlingshot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PCA\", dims = 1:10)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:2), lineages_span = 0.1)   # 3D lineage pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-11 12:01:19.754827] Start Standard_SCP #> [2023-09-11 12:01:19.755005] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:01:20.757721] Finished checking. #> [2023-09-11 12:01:20.757918] Perform ScaleData on the data... #> [2023-09-11 12:01:20.911858] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 12:01:21.687136] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:01:21.808771] Reorder clusters... #> [2023-09-11 12:01:21.994985] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:01:31.4014] Standard_SCP done #> Elapsed time: 11.65 secs  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1, lineages_trim = c(0.05, 0.95))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Symphony method — RunSymphonyMap","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"Single-cell reference mapping Symphony method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"RunSymphonyMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_harmony = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"vote_fun","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\") #> [2023-09-11 12:01:36.870497] Start Harmony_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSymphonyMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Harmonypca\", ref_harmony = \"Harmony\", ref_umap = \"HarmonyUMAP2D\") #> Error: Cannot find 'Harmonypca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Run TriMap — RunTriMap","title":"Run TriMap — RunTriMap","text":"Run TriMap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run TriMap — RunTriMap","text":"","code":"RunTriMap(object, ...)  # S3 method for Seurat RunTriMap(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.name = \"trimap\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunTriMap(   object,   assay = NULL,   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run TriMap — RunTriMap","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run UMAP — RunUMAP2","title":"Run UMAP — RunUMAP2","text":"Run UMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run UMAP — RunUMAP2","text":"","code":"RunUMAP2(object, ...)  # S3 method for Seurat RunUMAP2(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   neighbor = NULL,   graph = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"umap\",   reduction.key = \"UMAP_\",   ... )  # S3 method for default RunUMAP2(   object,   assay = NULL,   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.key = \"UMAP_\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run UMAP — RunUMAP2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":null,"dir":"Reference","previous_headings":"","what":"Run WOT analysis — RunWOT","title":"Run WOT analysis — RunWOT","text":"Run WOT analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run WOT analysis — RunWOT","text":"","code":"RunWOT(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   time_field = \"Time\",   growth_iters = 3L,   tmap_out = \"tmaps/tmap_out\",   time_from = NULL,   time_to = NULL,   get_coupling = FALSE,   recalculate = FALSE,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run WOT analysis — RunWOT","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"SankeyPlot — SankeyPlot","title":"SankeyPlot — SankeyPlot","text":"SankeyPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SankeyPlot — SankeyPlot","text":"","code":"SankeyPlot(node, edge, node_group = NULL, group_list = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SankeyPlot — SankeyPlot","text":"group_list","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Scanorama_integrate — Scanorama_integrate","title":"Scanorama_integrate — Scanorama_integrate","text":"Scanorama_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Scanorama_integrate — Scanorama_integrate","text":"","code":"Scanorama_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   Scanorama_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   return_corrected = FALSE,   scanorama_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Scanorama_integrate — Scanorama_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Seurat_integrate — Seurat_integrate","title":"Seurat_integrate — Seurat_integrate","text":"Seurat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Seurat_integrate — Seurat_integrate","text":"","code":"Seurat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   FindIntegrationAnchors_params = list(),   IntegrateData_params = list(),   IntegrateEmbeddings_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Seurat_integrate — Seurat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":null,"dir":"Reference","previous_headings":"","what":"Append a Seurat object to another — SrtAppend","title":"Append a Seurat object to another — SrtAppend","text":"Append Seurat object another","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Append a Seurat object to another — SrtAppend","text":"","code":"SrtAppend(   srt_raw,   srt_append,   slots = slotNames(srt_append),   pattern = NULL,   overwrite = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Append a Seurat object to another — SrtAppend","text":"srt_raw Seurat object appended. srt_append New Seurat object append. slots slots names. pattern character string containing regular expression. data matching names considered appending. overwrite Whether overwrite. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":null,"dir":"Reference","previous_headings":"","what":"Reorder idents by the gene expression — SrtReorder","title":"Reorder idents by the gene expression — SrtReorder","text":"Reorder idents gene expression","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Reorder idents by the gene expression — SrtReorder","text":"","code":"SrtReorder(   srt,   features = NULL,   reorder_by = NULL,   slot = \"data\",   assay = NULL,   log = TRUE,   distance_metric = \"euclidean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Reorder idents by the gene expression — SrtReorder","text":"srt Seurat object. features Features used reorder idents. reorder_by Reorder groups instead idents. slot Specific slot get data . assay Specific assay get data . log Whether log1p transformation needs applied. Default TRUE. distance_metric Metric compute distance. Default \"euclidean\".","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard_SCP — Standard_SCP","title":"Standard_SCP — Standard_SCP","text":"Single cell pipeline single dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standard_SCP — Standard_SCP","text":"","code":"Standard_SCP(   srt,   prefix = \"Standard\",   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_method = \"vst\",   nHVF = 2000,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard_SCP — Standard_SCP","text":"srt Seurat object. prefix prefix used name result. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standard_SCP — Standard_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Standard_SCP — Standard_SCP","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(srt = pancreas_sub) #> [2023-09-11 12:01:39.503135] Start Standard_SCP #> [2023-09-11 12:01:39.503335] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:01:40.599709] Finished checking. #> [2023-09-11 12:01:40.59989] Perform ScaleData on the data... #> [2023-09-11 12:01:40.710247] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 12:01:41.456073] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:01:41.571598] Reorder clusters... #> [2023-09-11 12:01:41.752538] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:01:50.921488] Standard_SCP done #> Elapsed time: 11.42 secs  CellDimPlot(pancreas_sub, group.by = \"SubCellType\")   # Use a combination of different linear or non-linear dimension reduction methods linear_reductions <- c(\"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = linear_reductions,   nonlinear_reduction = \"umap\" ) #> [2023-09-11 12:01:51.152797] Start Standard_SCP #> [2023-09-11 12:01:51.152976] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:01:52.117239] Finished checking. #> [2023-09-11 12:01:52.117448] Perform ScaleData on the data... #> [2023-09-11 12:01:52.276031] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 12:01:53.090541] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:01:53.227631] Reorder clusters... #> [2023-09-11 12:01:53.468066] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:02:02.335975] Perform linear dimension reduction (ica) on the data... #> [2023-09-11 12:02:04.676291] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:02:04.841201] Reorder clusters... #> [2023-09-11 12:02:05.09209] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> [2023-09-11 12:02:14.011691] Perform linear dimension reduction (nmf) on the data... #>  #> Attaching package: ‘Matrix’ #> The following object is masked from ‘package:S4Vectors’: #>  #>     expand #> [2023-09-11 12:02:28.214345] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:02:28.381856] Reorder clusters... #> [2023-09-11 12:02:28.677259] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> [2023-09-11 12:02:37.583652] Perform linear dimension reduction (mds) on the data... #> [2023-09-11 12:02:45.976497] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:02:46.15695] Reorder clusters... #> [2023-09-11 12:02:46.514325] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> [2023-09-11 12:02:55.417915] Perform linear dimension reduction (glmpca) on the data... #> [2023-09-11 12:04:00.666409] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:04:01.037809] Reorder clusters... #> [2023-09-11 12:04:01.898416] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> [2023-09-11 12:04:12.762948] Standard_SCP done #> Elapsed time: 2.36 mins  plist1 <- lapply(linear_reductions, function(lr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standard\", lr, \"UMAP2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist1)   nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = \"pca\",   nonlinear_reduction = nonlinear_reductions ) #> [2023-09-11 12:04:14.985065] Start Standard_SCP #> [2023-09-11 12:04:14.985272] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-11 12:04:17.843165] Finished checking. #> [2023-09-11 12:04:17.843373] Perform ScaleData on the data... #> [2023-09-11 12:04:18.722231] Perform linear dimension reduction (pca) on the data... #> [2023-09-11 12:04:20.756873] Perform FindClusters (louvain) on the data... #> [2023-09-11 12:04:21.316199] Reorder clusters... #> [2023-09-11 12:04:22.567146] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:04:31.944615] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:04:41.256182] Perform nonlinear dimension reduction (dm) on the data... #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> Warning: 'as(, \"dsTMatrix\")' is deprecated. #> Use 'as(., \"TsparseMatrix\")' instead. #> See help(\"Deprecated\") and help(\"Matrix-deprecated\"). #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:04:43.065613] Perform nonlinear dimension reduction (phate) on the data... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> Try to install phate ... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:05:14.543418] Perform nonlinear dimension reduction (pacmap) on the data... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> Try to install pacmap ... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:05:51.294345] Perform nonlinear dimension reduction (trimap) on the data... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> Try to install trimap ... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:06:16.221822] Perform nonlinear dimension reduction (largevis) on the data... #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-11 12:13:04.442326] Perform nonlinear dimension reduction (fr) on the data... #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> [2023-09-11 12:13:08.561375] Standard_SCP done #> Elapsed time: 8.89 mins  plist2 <- lapply(nonlinear_reductions, function(nr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standardpca\", toupper(nr), \"2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist2)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"StatPlot — StatPlot","title":"StatPlot — StatPlot","text":"StatPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"StatPlot — StatPlot","text":"","code":"StatPlot(   meta.data,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"StatPlot — StatPlot","text":"meta.data  seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"StatPlot — StatPlot","text":"","code":"data(\"pancreas_sub\") head(pancreas_sub@meta.data) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1 StatPlot(pancreas_sub@meta.data, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", label = TRUE)   head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes #> Mrpl15                        False #> Npbwr1                          #> 4732440D04Rik                 False #> Gm26901                       False #> Sntg1                          True #> Mybl1                         False StatPlot(pancreas_sub[[\"RNA\"]]@meta.features, stat.by = \"highly_variable_genes\", plot_type = \"ring\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", IDtype = \"symbol\", db = \"GeneType\") #> Species: Mus_musculus #> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-11 10:44:50.057727 head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes       GeneType #> Mrpl15                        False protein-coding #> Npbwr1                          protein-coding #> 4732440D04Rik                 False            #> Gm26901                       False            #> Sntg1                          True protein-coding #> Mybl1                         False protein-coding StatPlot(pancreas_sub[[\"RNA\"]]@meta.features,   stat.by = \"highly_variable_genes\", group.by = \"GeneType\",   stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE, NA_stat = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Uncorrected_integrate — Uncorrected_integrate","title":"Uncorrected_integrate — Uncorrected_integrate","text":"Uncorrected_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Uncorrected_integrate — Uncorrected_integrate","text":"","code":"Uncorrected_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Uncorrected_integrate — Uncorrected_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Velocity Plot — VelocityPlot","title":"Velocity Plot — VelocityPlot","text":"Velocity Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Velocity Plot — VelocityPlot","text":"","code":"VelocityPlot(   srt,   reduction,   dims = c(1, 2),   cells = NULL,   velocity = \"stochastic\",   plot_type = c(\"raw\", \"grid\", \"stream\"),   group_by = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   density = 1,   smooth = 0.5,   scale = 1,   min_mass = 1,   cutoff_perc = 5,   arrow_angle = 20,   arrow_color = \"black\",   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   aspect.ratio = 1,   title = \"Cell velocity\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Velocity Plot — VelocityPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Velocity Plot — VelocityPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ VelocityPlot(pancreas_sub, reduction = \"UMAP\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"grid\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\", arrow_color = \"red\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"VolcanoPlot — VolcanoPlot","title":"VolcanoPlot — VolcanoPlot","text":"VolcanoPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"VolcanoPlot — VolcanoPlot","text":"","code":"VolcanoPlot(   srt,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   x_metric = \"diff_pct\",   palette = \"RdBu\",   palcolor = NULL,   pt.size = 1,   pt.alpha = 1,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   nlabel = 5,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   xlab = x_metric,   ylab = \"-log10(p-adjust)\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"VolcanoPlot — VolcanoPlot","text":"byrow","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"VolcanoPlot — VolcanoPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-11 12:13:57.772663] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 12:14:05.985198] DEtest done #> Elapsed time:8.21 secs VolcanoPlot(pancreas_sub, group_by = \"CellType\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", DE_threshold = \"abs(diff_pct) > 0.3 & p_val_adj < 0.05\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", x_metric = \"avg_log2FC\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"Convert anndata object seurat object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"adata_to_srt(adata)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"adata connected python anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata <- RunPAGA(adata = adata, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") srt <- adata_to_srt(adata) srt #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 0 variable features) #>  2 other assays present: spliced, unspliced #>  3 dimensional reductions calculated: PCA, UMAP, draw_graph_fr  ### Or convert a h5ad file to Seurat object # library(reticulate) # check_Python(\"scanpy\") # sc <- import(\"scanpy\") # adata <- sc$read_h5ad(\"pancreas.h5ad\") # srt <- adata_to_srt(adata) # srt"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a color with arbitrary transparency to a fixed color — adjcolors","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"Convert color arbitrary transparency fixed color","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"adjcolors(colors, alpha)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"colors Color vectors. alpha Alpha level [0,1]","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"colors <- c(\"red\", \"blue\", \"green\") adjcolors(colors, 0.5) #>        V1        V2        V3  #> \"#FF8080\" \"#8080FF\" \"#80FF80\"   library(scales) alpha(colors, 0.5) #> [1] \"#FF000080\" \"#0000FF80\" \"#00FF0080\"  show_palettes(list(colors, adjcolors(colors, 0.5), alpha(colors, 0.5)))  #> [1] \"1\" \"2\" \"3\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"Attempts turn dgCMatrix dense matrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"","code":"as_matrix(matrix)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"matrix dgCMatrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Blend colors — blendcolors","title":"Blend colors — blendcolors","text":"Blend colors","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blend colors — blendcolors","text":"","code":"blendcolors(colors, mode = c(\"blend\", \"average\", \"screen\", \"multiply\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blend colors — blendcolors","text":"colors Color vectors. mode Blend mode.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blend colors — blendcolors","text":"","code":"blend <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"blend\")) average <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"average\")) screen <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"screen\")) multiply <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"multiply\")) show_palettes(list(\"blend\" = blend, \"average\" = average, \"screen\" = screen, \"multiply\" = multiply))  #> [1] \"blend\"    \"average\"  \"screen\"   \"multiply\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":null,"dir":"Reference","previous_headings":"","what":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"Capitalizes characters Making first letter uppercase","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"capitalize(x, force_tolower = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"x vector character strings capitalized. force_tolower Whether force remaining letters lowercase.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"x <- c(\"dna methylation\", \"rRNA processing\", \"post-Transcriptional gene silencing\") capitalize(x) #> [1] \"Dna methylation\"                     \"rRNA processing\"                     \"Post-Transcriptional gene silencing\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and report the type of data — check_DataType","title":"Check and report the type of data — check_DataType","text":"Check report type data","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and report the type of data — check_DataType","text":"","code":"check_DataType(srt, data = NULL, slot = \"data\", assay = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and report the type of data — check_DataType","text":"srt Seurat object data Use data instead getting Seurat object. slot Specific slot get data . assay Specific assay get data .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install python packages — check_Python","title":"Check and install python packages — check_Python","text":"Check install python packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install python packages — check_Python","text":"","code":"check_Python(   packages,   envname = NULL,   conda = \"auto\",   force = FALSE,   pip = TRUE,   pip_options = character(),   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install python packages — check_Python","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. force Whether force package installation. Default FALSE. pip Whether use pip package installation. default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check and install python packages — check_Python","text":"","code":"check_Python(packages = c(\"bbknn\", \"scanorama\")) #> Try to install bbknn,scanorama ... if (FALSE) { check_Python(packages = \"scvi-tools==0.20.0\", envname = \"SCP_env\", pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install R packages — check_R","title":"Check and install R packages — check_R","text":"Check install R packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install R packages — check_R","text":"","code":"check_R(   packages,   package_names = NULL,   install_methods = c(\"BiocManager::install\", \"install.packages\",     \"devtools::install_github\"),   lib = .libPaths()[1],   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install R packages — check_R","text":"packages Package installed. Package source can CRAN, Bioconductor Github, e.g. scmap, davidsjoberg/ggsankey. package_names name package corresponds packages parameter, used check package already installed. default, package name extracted according packages parameter. install_methods Functions used install R packages. lib location library directories install packages. force Whether force installation packages. Default FALSE.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a list of seurat objects — check_srtList","title":"Check and preprocess a list of seurat objects — check_srtList","text":"Check preprocess list seurat objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a list of seurat objects — check_srtList","text":"","code":"check_srtList(   srtList,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a list of seurat objects — check_srtList","text":"srtList list Seurat object. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a merged seurat object — check_srtMerge","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"Check preprocess merged seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"","code":"check_srtMerge(   srtMerge,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"Compute velocity grid original python code https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"","code":"compute_velocity_on_grid(   X_emb,   V_emb,   density = NULL,   smooth = NULL,   n_neighbors = NULL,   min_mass = NULL,   scale = 1,   adjust_for_stream = FALSE,   cutoff_perc = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"cutoff_perc","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":null,"dir":"Reference","previous_headings":"","what":"Installs a list of packages into a specified conda environment — conda_install","title":"Installs a list of packages into a specified conda environment — conda_install","text":"Installs list packages specified conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Installs a list of packages into a specified conda environment — conda_install","text":"","code":"conda_install(   envname = NULL,   packages,   forge = TRUE,   channel = character(),   pip = FALSE,   pip_options = character(),   pip_ignore_installed = FALSE,   conda = \"auto\",   python_version = NULL,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Installs a list of packages into a specified conda environment — conda_install","text":"envname name , path , conda environment. packages character vector, indicating package names installed removed. Use  == request installation specific version package. NULL value conda_remove() interpretted \"--\", removing entire environment. forge Boolean; include conda-forge repository? channel optional character vector conda channels include. specified, forge argument ignored. need specify multiple channels, including conda forge, can use c(\"conda-forge\", ). pip Boolean; use pip package installation? default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. pip_ignore_installed Ignore already-installed versions using pip? (defaults FALSE). Set TRUE specific package versions can installed even downgrades. FALSE option useful situations want pip install attempt overwrite conda binary package (e.g. SciPy Windows difficult install via pip due compilation requirements). conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. python_version version Python installed. Set like change version Python associated particular conda environment. ... Optional arguments, reserved future expansion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the path to Python associated with a conda environment — conda_python","title":"Find the path to Python associated with a conda environment — conda_python","text":"Find path Python associated conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the path to Python associated with a conda environment — conda_python","text":"","code":"conda_python(envname = NULL, conda = \"auto\", all = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the path to Python associated with a conda environment — conda_python","text":"envname name , path , conda environment. conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. Boolean; report instances Python found?","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with DoubletDetection — db_DoubletDetection","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"Run doublet-calling DoubletDetection","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"db_DoubletDetection(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_DoubletDetection(pancreas_sub) #> Try to install doubletdetection ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.DoubletDetection_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.DoubletDetection_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with Scrublet — db_Scrublet","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"Run doublet-calling Scrublet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"db_Scrublet(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_Scrublet(pancreas_sub) #> Try to install scrublet ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.Scrublet_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.Scrublet_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scDblFinder — db_scDblFinder","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"Run doublet-calling scDblFinder","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"db_scDblFinder(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scDblFinder(pancreas_sub) CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scds — db_scds","title":"Run doublet-calling with scds — db_scds","text":"Run doublet-calling scds","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scds — db_scds","text":"","code":"db_scds(   srt,   assay = \"RNA\",   db_rate = ncol(srt)/1000 * 0.01,   method = \"hybrid\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scds — db_scds","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scds — db_scds","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scds(pancreas_sub, method = \"hybrid\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scds_hybrid_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scds_hybrid_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download File from the Internet — download","title":"Download File from the Internet — download","text":"Download File Internet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download File from the Internet — download","text":"","code":"download(   url,   destfile,   methods = c(\"auto\", \"wget\", \"libcurl\", \"curl\", \"wininet\", \"internal\"),   quiet = FALSE,   ...,   max_tries = 2 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download File from the Internet — download","text":"url character string (longer vector e.g.,     \"libcurl\" method) naming URL resource     downloaded. destfile character string (vector, see url     argument) file path downloaded file     saved.  Tilde-expansion performed. methods Methods used downloading files. default try different download methods turn download successfully completed. quiet TRUE, suppress status messages (),     progress bar. ... arguments passed download.file max_tries Number tries download method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop all data in the plot (only one observation is kept) — drop_data","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"Drop data plot (one observation kept)","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"drop_data(p)  # S3 method for ggplot drop_data(p)  # S3 method for patchwork drop_data(p)  # S3 method for default drop_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   scale_x_continuous(limits = c(10, 30)) +   scale_y_continuous(limits = c(1, 6)) +   theme_scp() object.size(p) #> 39064 bytes  p_drop <- drop_data(p) object.size(p_drop) #> 34016 bytes  p / p_drop #> Warning: Removed 4 rows containing missing values (`geom_point()`)."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if a conda environment exists — env_exist","title":"Check if a conda environment exists — env_exist","text":"Check conda environment exists","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if a conda environment exists — env_exist","text":"","code":"env_exist(conda = \"auto\", envname = NULL, envs_dir = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if a conda environment exists — env_exist","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. envname name conda environment. envs_dir Directories conda environments located.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if the python package exists in the environment — exist_Python_pkgs","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"Check python package exists environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"","code":"exist_Python_pkgs(packages, envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"fastMNN_integrate — fastMNN_integrate","title":"fastMNN_integrate — fastMNN_integrate","text":"fastMNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"fastMNN_integrate — fastMNN_integrate","text":"","code":"fastMNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   fastMNN_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   fastMNN_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"fastMNN_integrate — fastMNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":null,"dir":"Reference","previous_headings":"","what":"Find an appropriate conda binary — find_conda","title":"Find an appropriate conda binary — find_conda","text":"Find appropriate conda binary","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find an appropriate conda binary — find_conda","text":"","code":"find_conda()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial — geom_alluvial","title":"geom_alluvial — geom_alluvial","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial — geom_alluvial","text":"","code":"geom_alluvial(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial — geom_alluvial","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial — geom_alluvial","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial_label — geom_alluvial_label","title":"geom_alluvial_label — geom_alluvial_label","text":"Creates centered labels text nodes alluvial plot. Needs exact aestethics call `geom_alluvial` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial_label — geom_alluvial_label","text":"","code":"geom_alluvial_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )  geom_alluvial_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial_label — geom_alluvial_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial_label — geom_alluvial_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_alluvial_label — geom_alluvial_label","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey Creates sankey plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction. default row data frame counted calculate size flows. manual flow value can added `value` aesthetic.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"","code":"geom_sankey(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type either 'sankey' 'alluvial' width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geom","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"aesthetics","dir":"Reference","previous_headings":"","what":"Aesthetics","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey understand following aesthetics (required aesthetics bold): - **x0** - **y0** - **** - **b** - **angle** - m1 - m2 - color - fill - size - linetype - alpha - lineend","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_bump — geom_sankey_bump","title":"geom_sankey_bump — geom_sankey_bump","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_bump — geom_sankey_bump","text":"","code":"geom_sankey_bump(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   smooth = 8,   type = \"sankey\",   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_bump — geom_sankey_bump","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot smooth much smooth curve ? means steeper curve. type either 'sankey' 'alluvial' inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_bump — geom_sankey_bump","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_sankey_bump — geom_sankey_bump","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_label — geom_sankey_label","title":"geom_sankey_label — geom_sankey_label","text":"Creates centered labels text nodes sankey plot. Needs exact aestethics call `geom_sankey` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_label — geom_sankey_label","text":"","code":"geom_sankey_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )  geom_sankey_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_label — geom_sankey_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type Either `sankey` centers aroudn x axis `alluvial` starts y = 0 moves upward. width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_label — geom_sankey_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":null,"dir":"Reference","previous_headings":"","what":"Get used vars in a ggplot object — get_vars","title":"Get used vars in a ggplot object — get_vars","text":"Get used vars ggplot object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get used vars in a ggplot object — get_vars","text":"","code":"get_vars(p, reverse, verbose = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get used vars in a ggplot object — get_vars","text":"p ggplot object. reverse TRUE return unused vars. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of 'ifnb' datasets — ifnb_sub","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Human PBMC control/IFNB-stimulated dataset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"ifnb_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"https://www.nature.com/articles/nbt.4042","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"if (FALSE) { if (interactive()) {   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"ifnb\"))   data(\"ifnb\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(ifnb), ifnb$stim), function(x) sample(x, size = 1000)))   ifnb_sub <- subset(ifnb, cells = cells_sub)   ifnb_sub <- ifnb_sub[rowSums(ifnb_sub@assays$RNA@counts) > 0, ]   ifnb_sub <- UpdateSeuratObject(ifnb_sub)   # usethis::use_data(ifnb_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Show all the python packages in the environment — installed_Python_pkgs","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"Show python packages environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"","code":"installed_Python_pkgs(envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":null,"dir":"Reference","previous_headings":"","what":"Invoke a function with a list of arguments — invoke","title":"Invoke a function with a list of arguments — invoke","text":"Invoke function list arguments","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Invoke a function with a list of arguments — invoke","text":"","code":"invoke(.fn, .args = list(), ..., .env = caller_env())"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Invoke a function with a list of arguments — invoke","text":".fn function, function name string. .args list arguments. .env Environment evaluate call. useful .fn string, function side-effects. arguments passed function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":null,"dir":"Reference","previous_headings":"","what":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"Detect outliers using MAD(Median Median Absolute Deviation) method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"","code":"isOutlier(   x,   nmads = 2.5,   constant = 1.4826,   type = c(\"both\", \"lower\", \"higher\") )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"type","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a iterator along chunks of a vector — iterchunks","title":"Generate a iterator along chunks of a vector — iterchunks","text":"Generate iterator along chunks vector","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"iterchunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a iterator along chunks of a vector — iterchunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"if (FALSE) { library(BiocParallel) x <- 1:100 BPPARAM <- bpparam() bpprogressbar(BPPARAM) <- TRUE bpworkers(BPPARAM) <- 10 slow_fun <- function(x) {   out <- NULL   for (i in seq_along(x)) {     Sys.sleep(0.5)     out[[i]] <- x[[i]] + 3   }   return(out) } system.time({   res0 <- lapply(x, FUN = slow_fun) }) unlist(res0, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res1 <- bplapply(x, FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res1, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res2 <- bplapply(tochunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res2, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res3 <- bpiterate(ITER = iterchunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res3, recursive = FALSE, use.names = FALSE)[71:73] }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":null,"dir":"Reference","previous_headings":"","what":"make_long — make_long","title":"make_long — make_long","text":"Prepares 'wide' data frame format `geom_sankey` `geom_alluvial` understands. Useful show flows dimensions dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"make_long — make_long","text":"","code":"make_long(.df, ..., value = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"make_long — make_long","text":".df data frame ... unquoted columnnames df want include plot. value row weight weight kept providing column name weight.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"make_long — make_long","text":"longer data frame","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"Color palettes collected in SCP. — palette_scp","title":"Color palettes collected in SCP. — palette_scp","text":"Color palettes collected SCP.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"palette_scp(   x,   n = 100,   palette = \"Paired\",   palcolor = NULL,   type = \"auto\",   matched = FALSE,   reverse = FALSE,   NA_keep = FALSE,   NA_color = \"grey80\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Color palettes collected in SCP. — palette_scp","text":"x vector character/factor numeric values. missing, numeric values 1:n used x. n number colors return numeric values. palette Palette name. available palette names can queried show_palettes(). palcolor Custom colors used create color palette. type Type x. Can one \"auto\", \"discrete\" \"continuous\". default \"auto\", automatically detects x numeric value. matched TRUE, return color vector length x. reverse Whether invert colors. NA_keep Whether keep color assignment NA x. NA_color Color assigned NA NA_keep TRUE.","code":""},{"path":[]},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"x <- c(1:3, NA, 3:5) (pal1 <- palette_scp(x, palette = \"Spectral\")) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#5E4FA2\"   \"#5954A4\"   \"#555AA7\"   \"#5060AA\"   \"#4C66AC\"   \"#476BAF\"   \"#4371B2\"   \"#3E77B5\"   \"#3A7DB7\"   \"#3682BA\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#3288BC\"   \"#378EBA\"   \"#3D94B7\"   \"#429AB5\"   \"#47A0B3\"   \"#4CA5B0\"   \"#52ABAE\"   \"#57B1AB\"   \"#5CB7A9\"   \"#61BDA6\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#67C2A4\"   \"#6EC5A4\"   \"#75C8A4\"   \"#7CCAA4\"   \"#83CDA4\"   \"#8AD0A4\"   \"#91D2A4\"   \"#98D5A4\"   \"#9FD8A4\"   \"#A6DBA4\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#ACDDA3\"   \"#B2E0A2\"   \"#B8E2A1\"   \"#BEE5A0\"   \"#C4E79E\"   \"#CAE99D\"   \"#D0EC9C\"   \"#D6EE9B\"   \"#DCF199\"   \"#E2F398\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#E7F599\"   \"#E9F69D\"   \"#ECF7A1\"   \"#EEF8A5\"   \"#F1F9A9\"   \"#F3FAAD\"   \"#F6FBB1\"   \"#F8FCB5\"   \"#FBFDB9\"   \"#FDFEBD\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FEFDBC\"   \"#FEFAB7\"   \"#FEF7B1\"   \"#FEF4AC\"   \"#FEF0A7\"   \"#FEEDA2\"   \"#FEEA9C\"   \"#FEE797\"   \"#FEE492\"   \"#FEE18D\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#FDDC88\"   \"#FDD784\"   \"#FDD27F\"   \"#FDCD7B\"   \"#FDC877\"   \"#FDC373\"   \"#FDBE6F\"   \"#FDB96A\"   \"#FDB466\"   \"#FDAF62\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#FCA95E\"   \"#FBA25B\"   \"#FA9C58\"   \"#F99555\"   \"#F88F52\"   \"#F7884F\"   \"#F6824C\"   \"#F67B49\"   \"#F57446\"   \"#F46E43\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#F16943\"   \"#EE6445\"   \"#EB5F46\"   \"#E85A47\"   \"#E45648\"   \"#E1514A\"   \"#DE4C4B\"   \"#DB474C\"   \"#D8434D\"   \"#D53E4E\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#CF384D\"   \"#CA324C\"   \"#C42C4B\"   \"#BF2549\"   \"#B91F48\"   \"#B41947\"   \"#AE1345\"   \"#A90D44\"   \"#A30743\"   \"#9E0142\"  (pal2 <- palette_scp(x, palcolor = c(\"red\", \"white\", \"blue\"))) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#FF0000\"   \"#FF0505\"   \"#FF0A0A\"   \"#FF0F0F\"   \"#FF1414\"   \"#FF1919\"   \"#FF1E1E\"   \"#FF2424\"   \"#FF2929\"   \"#FF2E2E\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#FF3333\"   \"#FF3838\"   \"#FF3D3D\"   \"#FF4242\"   \"#FF4848\"   \"#FF4D4D\"   \"#FF5252\"   \"#FF5757\"   \"#FF5C5C\"   \"#FF6161\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#FF6767\"   \"#FF6C6C\"   \"#FF7171\"   \"#FF7676\"   \"#FF7B7B\"   \"#FF8080\"   \"#FF8585\"   \"#FF8B8B\"   \"#FF9090\"   \"#FF9595\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#FF9A9A\"   \"#FF9F9F\"   \"#FFA4A4\"   \"#FFAAAA\"   \"#FFAFAF\"   \"#FFB4B4\"   \"#FFB9B9\"   \"#FFBEBE\"   \"#FFC3C3\"   \"#FFC8C8\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#FFCECE\"   \"#FFD3D3\"   \"#FFD8D8\"   \"#FFDDDD\"   \"#FFE2E2\"   \"#FFE7E7\"   \"#FFECEC\"   \"#FFF2F2\"   \"#FFF7F7\"   \"#FFFCFC\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FCFCFF\"   \"#F7F7FF\"   \"#F2F2FF\"   \"#ECECFF\"   \"#E7E7FF\"   \"#E2E2FF\"   \"#DDDDFF\"   \"#D8D8FF\"   \"#D3D3FF\"   \"#CECEFF\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#C8C8FF\"   \"#C3C3FF\"   \"#BEBEFF\"   \"#B9B9FF\"   \"#B4B4FF\"   \"#AFAFFF\"   \"#A9A9FF\"   \"#A4A4FF\"   \"#9F9FFF\"   \"#9A9AFF\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#9595FF\"   \"#9090FF\"   \"#8B8BFF\"   \"#8585FF\"   \"#8080FF\"   \"#7B7BFF\"   \"#7676FF\"   \"#7171FF\"   \"#6C6CFF\"   \"#6767FF\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#6161FF\"   \"#5C5CFF\"   \"#5757FF\"   \"#5252FF\"   \"#4D4DFF\"   \"#4848FF\"   \"#4242FF\"   \"#3D3DFF\"   \"#3838FF\"   \"#3333FF\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#2E2EFF\"   \"#2929FF\"   \"#2424FF\"   \"#1E1EFF\"   \"#1919FF\"   \"#1414FF\"   \"#0F0FFF\"   \"#0A0AFF\"   \"#0505FF\"   \"#0000FF\"  (pal3 <- palette_scp(x, palette = \"Spectral\", n = 10)) #>   [1,1.4] (1.4,1.8] (1.8,2.2] (2.2,2.6]   (2.6,3]   (3,3.4] (3.4,3.8] (3.8,4.2] (4.2,4.6]   (4.6,5]  #> \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\"  (pal4 <- palette_scp(x, palette = \"Spectral\", n = 10, reverse = TRUE)) #>   (4.6,5] (4.2,4.6] (3.8,4.2] (3.4,3.8]   (3,3.4]   (2.6,3] (2.2,2.6] (1.8,2.2] (1.4,1.8]   [1,1.4]  #> \"#D53E4F\" \"#F46D43\" \"#FDAE61\" \"#FEE08B\" \"#FFFFBF\" \"#E6F598\" \"#ABDDA4\" \"#66C2A5\" \"#3288BD\" \"#5E4FA2\"  (pal5 <- palette_scp(x, palette = \"Spectral\", matched = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"        NA \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal6 <- palette_scp(x, palette = \"Spectral\", matched = TRUE, NA_keep = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"  \"grey80\" \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal7 <- palette_scp(x, palette = \"Paired\", type = \"discrete\")) #>         1         2         3         4         5  #> \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\"  show_palettes(list(pal1, pal2, pal3, pal4, pal5, pal6, pal7))  #> [1] \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\"  all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                    if (FALSE) { if (interactive()) {   check_R(c(\"stringr\", \"RColorBrewer\", \"ggsci\", \"Redmonder\", \"rcartocolor\", \"nord\", \"viridis\", \"pals\", \"oompaBase\", \"dichromat\", \"jaredhuling/jcolors\"))   library(stringr)   library(RColorBrewer)   library(ggsci)   library(Redmonder)   library(rcartocolor)   library(nord)   library(viridis)   library(pals)   library(dichromat)   library(jcolors)   brewer.pal.info <- RColorBrewer::brewer.pal.info   ggsci_db <- ggsci:::ggsci_db   redmonder.pal.info <- Redmonder::redmonder.pal.info   metacartocolors <- rcartocolor::metacartocolors   rownames(metacartocolors) <- metacartocolors$Name   nord_palettes <- nord::nord_palettes   viridis_names <- c(\"magma\", \"inferno\", \"plasma\", \"viridis\", \"cividis\", \"rocket\", \"mako\", \"turbo\")   viridis_palettes <- lapply(setNames(viridis_names, viridis_names), function(x) viridis::viridis(100, option = x))   ocean_names <- names(pals:::syspals)[grep(\"ocean\", names(pals:::syspals))]   ocean_palettes <- pals:::syspals[ocean_names]   dichromat_palettes <- dichromat::colorschemes   jcolors_names <- paste0(\"jcolors-\", c(\"default\", \"pal2\", \"pal3\", \"pal4\", \"pal5\", \"pal6\", \"pal7\", \"pal8\", \"pal9\", \"pal10\", \"pal11\", \"pal12\", \"rainbow\"))   custom_names <- c(\"jet\", \"simspec\", \"GdRd\")   custom_palettes <- list(     oompaBase::jetColors(N = 100),     c(\"#c22b86\", \"#f769a1\", \"#fcc5c1\", \"#253777\", \"#1d92c0\", \"#9ec9e1\", \"#015b33\", \"#42aa5e\", \"#d9f0a2\", \"#E66F00\", \"#f18c28\", \"#FFBB61\"),     c(\"gold\", \"red3\")   )   names(custom_palettes) <- custom_names    palette_list <- list()   all_colors <- c(     rownames(brewer.pal.info), names(ggsci_db), rownames(redmonder.pal.info),     rownames(metacartocolors), names(nord_palettes), names(viridis_palettes),     ocean_names, names(dichromat_palettes), jcolors_names,     custom_names   )   for (pal in all_colors) {     if (!pal %in% all_colors) {       stop(paste0(\"Invalid pal Must be one of \", paste0(all_colors, collapse = \",\")))     }     if (pal %in% rownames(brewer.pal.info)) {       pal_n <- brewer.pal.info[pal, \"maxcolors\"]       pal_category <- brewer.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(brewer.pal(name = pal, n = pal_n))       } else {         if (pal == \"Paired\") {           palcolor <- brewer.pal(12, \"Paired\")[c(1:4, 7, 8, 5, 6, 9, 10, 11, 12)]         } else {           palcolor <- brewer.pal(name = pal, n = pal_n)         }       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(ggsci_db)) {       if (pal %in% c(\"d3\", \"uchicago\", \"material\")) {         for (subpal in names(ggsci_db[[pal]])) {           palcolor <- ggsci_db[[pal]][[subpal]]           if (pal == \"material\") {             attr(palcolor, \"type\") <- \"continuous\"           } else {             attr(palcolor, \"type\") <- \"discrete\"           }           palette_list[[paste0(pal, \"-\", subpal)]] <- palcolor         }         next       } else {         palcolor <- ggsci_db[[pal]][[1]]         if (pal == \"gsea\") {           attr(palcolor, \"type\") <- \"continuous\"         } else {           attr(palcolor, \"type\") <- \"discrete\"         }       }     } else if (pal %in% rownames(redmonder.pal.info)) {       pal_n <- redmonder.pal.info[pal, \"maxcolors\"]       pal_category <- redmonder.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(redmonder.pal(name = pal, n = pal_n))       } else {         palcolor <- redmonder.pal(name = pal, n = pal_n)       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% rownames(metacartocolors)) {       pal_n <- metacartocolors[pal, \"Max_n\"]       palcolor <- carto_pal(name = pal, n = pal_n)       if (pal_category == \"qualitative\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(nord_palettes)) {       palcolor <- nord_palettes[[pal]]       attr(palcolor, \"type\") <- \"discrete\"     } else if (pal %in% names(viridis_palettes)) {       palcolor <- viridis_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(ocean_palettes)) {       palcolor <- ocean_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(dichromat_palettes)) {       palcolor <- dichromat_palettes[[pal]]       if (pal %in% c(\"Categorical.12\", \"SteppedSequential.5\")) {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% jcolors_names) {       palcolor <- jcolors(palette = gsub(\"jcolors-\", \"\", pal))       if (pal %in% paste0(\"jcolors-\", c(\"pal10\", \"pal11\", \"pal12\", \"rainbow\"))) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     } else if (pal %in% custom_names) {       palcolor <- custom_palettes[[pal]]       if (pal %in% c(\"jet\")) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     }     palette_list[[pal]] <- palcolor   }   # usethis::use_data(palette_list, internal = TRUE) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of human 'panc8' datasets — panc8_sub","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Human pancreatic islet cell datasets produced across four technologies, CelSeq (GSE81076) CelSeq2 (GSE85241), Fluidigm C1 (GSE86469), SMART-Seq2 (E-MTAB-5061) SeuratData package. data set `panc8`, 200 cells downsampled form panc8_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"panc8_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81076 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5061/ https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"if (FALSE) { if (interactive()) {   data(\"pancreas_sub\")   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"panc8\"))   data(\"panc8\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(panc8), panc8$dataset), function(x) sample(x, size = 200)))   panc8_sub <- subset(panc8, cells = cells_sub)   panc8_sub <- panc8_sub[rowSums(panc8_sub@assays$RNA@counts) > 0, ]   panc8_sub <- panc8_sub[toupper(rownames(panc8_sub)) %in% toupper(rownames(pancreas_sub)), ]   panc8_sub <- UpdateSeuratObject(panc8_sub)   # usethis::use_data(panc8_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Mouse pancreatic endocrinogenesis dataset Bastidas-Ponce et al. (2019). total 1000 cells downsampled form pancreas_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"pancreas_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"https://scvelo.readthedocs.io/scvelo.datasets.pancreas/ https://github.com/theislab/scvelo_notebooks/raw/master/data/Pancreas/endocrinogenesis_day15.h5ad","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"if (FALSE) { if (interactive()) {   library(Seurat)   library(reticulate)   check_Python(\"scvelo\")   scv <- import(\"scvelo\")   adata <- scv$datasets$pancreas()   pancreas <- adata_to_srt(adata)   set.seed(11)   pancreas_sub <- subset(pancreas, cells = sample(colnames(pancreas), size = 1000))   pancreas_sub <- pancreas_sub[rowSums(pancreas_sub@assays$RNA@counts) > 0, ]   pancreas_sub[[\"CellType\"]] <- pancreas_sub[[\"clusters_coarse\"]]   pancreas_sub[[\"SubCellType\"]] <- pancreas_sub[[\"clusters\"]]   pancreas_sub[[\"clusters_coarse\"]] <- pancreas_sub[[\"clusters\"]] <- NULL   pancreas_sub[[\"Phase\"]] <- ifelse(pancreas_sub$S_score > pancreas_sub$G2M_score, \"S\", \"G2M\")   pancreas_sub[[\"Phase\"]][apply(pancreas_sub[[]][, c(\"S_score\", \"G2M_score\")], 1, max) < 0, ] <- \"G1\"   pancreas_sub[[\"Phase\", drop = TRUE]] <- factor(pancreas_sub[[\"Phase\", drop = TRUE]], levels = c(\"G1\", \"S\", \"G2M\"))   pancreas_sub[[\"PCA\"]] <- pancreas_sub[[\"X_pca\"]]   pancreas_sub[[\"UMAP\"]] <- pancreas_sub[[\"X_umap\"]]   pancreas_sub[[\"X_umap\"]] <- pancreas_sub[[\"X_pca\"]] <- NULL   VariableFeatures(pancreas_sub) <- rownames(pancreas_sub[[\"RNA\"]])[which(pancreas_sub[[\"RNA\"]]@meta.features$highly_variable_genes == \"True\")]   # usethis::use_data(pancreas_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":null,"dir":"Reference","previous_headings":"","what":"Set the panel width/height of a plot object to a fixed value. — panel_fix","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"ggplot object, stored, can specify height width entire plot, panel. latter obviously important control final result plot. function can set panel width/height plot fixed value rasterize .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"panel_fix(   x = NULL,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   padding = 0,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   facet_wrap(~gear, nrow = 2) # fix the size of panel panel_fix(p, width = 5, height = 3, units = \"cm\")  # rasterize the panel panel_fix(p, width = 5, height = 3, units = \"cm\", raster = TRUE, dpi = 30)   # panel_fix will build and render the plot when the input is a ggplot object. # so after panel_fix, the size of the object will be changed. object.size(p) #> 13984 bytes object.size(panel_fix(p, width = 5, height = 3, units = \"cm\")) #> 1398888 bytes  ## save the plot with appropriate size # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\") # plot_size <- attr(p_fix, \"size\") # ggsave( #   filename = \"p_fix.png\", plot = p_fix, #   units = plot_size$units, width = plot_size$width, height = plot_size$height # ) ## or save the plot directly # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\", save = \"p_fix.png\")  # fix the panel of the plot combined by patchwork data(\"pancreas_sub\") p1 <- CellDimPlot(pancreas_sub, \"Phase\", aspect.ratio = 1) # ggplot object p2 <- FeatureDimPlot(pancreas_sub, \"Ins1\", aspect.ratio = 0.5) # ggplot object p <- p1 / p2 # plot is combined by patchwork # fix the panel size for each plot, the width will be calculated automatically based on aspect.ratio panel_fix(p, height = 1)   # fix the panel of the plot combined by plot_grid library(cowplot) #>  #> Attaching package: ‘cowplot’ #> The following object is masked from ‘package:ggpubr’: #>  #>     get_legend p1 <- CellDimPlot(pancreas_sub, c(\"Phase\", \"SubCellType\"), label = TRUE) # plot is combined by patchwork p2 <- FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\"), label = TRUE) # plot is combined by patchwork p <- plot_grid(p1, p2, nrow = 2) # plot is combined by plot_grid # fix the size of panel for each plot panel_fix(p, height = 1)  # rasterize the panel while keeping all labels and text in vector format panel_fix(p, height = 1, raster = TRUE, dpi = 30)   # fix the panel of the heatmap ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. # the size of the heatmap is not fixed and can be resized by zooming the viewport. ht1$plot  # fix the size of the heatmap according the current viewport panel_fix(ht1$plot)  # rasterize the heatmap body panel_fix(ht1$plot, raster = TRUE, dpi = 30)  # fix the size of overall heatmap including annotation and legend panel_fix(ht1$plot, height = 4, width = 6)   ht2 <- GroupHeatmap(pancreas_sub,   features = pancreas_sub[[\"RNA\"]]@var.features,   group.by = \"SubCellType\",   n_split = 5, nlabel = 20,   db = \"GO_BP\", species = \"Mus_musculus\", anno_terms = TRUE,   height = 4, width = 1 # Heatmap body size for two groups ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-11 12:16:53.686975] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-11 10:52:24.793652 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-11 12:18:00.747562] Enrichment done #> Elapsed time:1.12 mins #> The size of the heatmap will be fixed as some elements are not scalable. # the size of the heatmap is already fixed ht2$plot  # when no height/width is specified, panel_fix does not change the size of the heatmap. panel_fix(ht2$plot)  # rasterize the heatmap body panel_fix(ht2$plot, raster = TRUE, dpi = 30)  # however, gene labels on the left and enrichment annotations on the right cannot be adjusted panel_fix(ht2$plot, height = 5, width = 10)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":null,"dir":"Reference","previous_headings":"","what":"Fix the width/height of panels in a single plot object. — panel_fix_single","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"Fix width/height panels single plot object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"","code":"panel_fix_single(   x,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"scVI_integrate — scVI_integrate","title":"scVI_integrate — scVI_integrate","text":"scVI_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"scVI_integrate — scVI_integrate","text":"","code":"scVI_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   scVI_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   model = \"SCVI\",   SCVI_params = list(),   PEAKVI_params = list(),   num_threads = 8,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"scVI_integrate — scVI_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":null,"dir":"Reference","previous_headings":"","what":"Shorten and offset the segment — segementsDf","title":"Shorten and offset the segment — segementsDf","text":"Shorten offset segment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shorten and offset the segment — segementsDf","text":"","code":"segementsDf(data, shorten_start, shorten_end, offset)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shorten and offset the segment — segementsDf","text":"offset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shorten and offset the segment — segementsDf","text":"","code":"library(ggplot2) tempNodes <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30)) data <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30), \"xend\" = c(40, 10), \"yend\" = c(30, 10)) ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(data = data, aes(x = x, xend = xend, y = y, yend = yend))   ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(     data = segementsDf(data, shorten_start = 2, shorten_end = 3, offset = 1),     aes(x = x, xend = xend, y = y, yend = yend)   )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":null,"dir":"Reference","previous_headings":"","what":"Show the color palettes — show_palettes","title":"Show the color palettes — show_palettes","text":"Show color palettes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(   palettes = NULL,   type = c(\"discrete\", \"continuous\"),   index = NULL,   palette_names = NULL,   return_names = TRUE,   return_palettes = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show the color palettes — show_palettes","text":"palettes list custom color palettes shown. type Specifies type color palettes collected SCP. index index palette SCP palette list. NULL, show palettes collected SCP. palette_names Specifies name color palettes collected SCP. return_names Whether return palette names. return_palettes Whether return palettes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(palettes = list(c(\"red\", \"blue\", \"green\"), c(\"yellow\", \"purple\", \"orange\")))  #> [1] \"1\" \"2\" all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                   all_palettes[[\"simspec\"]] #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" show_palettes(index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Accent\"   show_palettes(type = \"discrete\", index = 1:10)  #>  [1] \"Accent\"  \"Dark2\"   \"Paired\"  \"Pastel1\" \"Pastel2\" \"Set1\"    \"Set2\"    \"Set3\"    \"npg\"     \"aaas\"    show_palettes(type = \"continuous\", index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Blues\"    show_palettes(palette_names = c(\"Paired\", \"nejm\", \"simspec\", \"Spectral\", \"jet\"), return_palettes = TRUE)  #> $Paired #>  [1] \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\" \"#FF7F00\" \"#FB9A99\" \"#E31A1C\" \"#CAB2D6\" \"#6A3D9A\" \"#FFFF99\" #> [12] \"#B15928\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $nejm #>      TallPoppy   DeepCerulean           Zest     Eucalyptus WildBlueYonder         Gothic        Salomie     FrenchRose  #>      \"#BC3C29\"      \"#0072B5\"      \"#E18727\"      \"#20854E\"      \"#7876B1\"      \"#6F99AD\"      \"#FFDC91\"      \"#EE4C97\"  #> attr(,\"type\") #> [1] \"discrete\" #>  #> $simspec #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $Spectral #>  [1] \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\" \"#9E0142\" #> attr(,\"type\") #> [1] \"continuous\" #>  #> $jet #>   [1] \"#00007A\" \"#000085\" \"#00008F\" \"#000099\" \"#0000A3\" \"#0000AD\" \"#0000B8\" \"#0000C2\" \"#0000CC\" \"#0000D6\" \"#0000E0\" #>  [12] \"#0000EB\" \"#0000F5\" \"#0000FF\" \"#000AFF\" \"#0014FF\" \"#001FFF\" \"#0029FF\" \"#0033FF\" \"#003DFF\" \"#0047FF\" \"#0052FF\" #>  [23] \"#005CFF\" \"#0066FF\" \"#0070FF\" \"#007AFF\" \"#0085FF\" \"#008FFF\" \"#0099FF\" \"#00A3FF\" \"#00ADFF\" \"#00B8FF\" \"#00C2FF\" #>  [34] \"#00CCFF\" \"#00D6FF\" \"#00E0FF\" \"#00EBFF\" \"#00F5FF\" \"#00FFFF\" \"#0AFFF5\" \"#14FFEB\" \"#1FFFE0\" \"#29FFD6\" \"#33FFCC\" #>  [45] \"#3DFFC2\" \"#47FFB8\" \"#52FFAD\" \"#5CFFA3\" \"#66FF99\" \"#70FF8F\" \"#7AFF85\" \"#85FF7A\" \"#8FFF70\" \"#99FF66\" \"#A3FF5C\" #>  [56] \"#ADFF52\" \"#B8FF47\" \"#C2FF3D\" \"#CCFF33\" \"#D6FF29\" \"#E0FF1F\" \"#EBFF14\" \"#F5FF0A\" \"#FFFF00\" \"#FFF500\" \"#FFEB00\" #>  [67] \"#FFE000\" \"#FFD600\" \"#FFCC00\" \"#FFC200\" \"#FFB800\" \"#FFAD00\" \"#FFA300\" \"#FF9900\" \"#FF8F00\" \"#FF8500\" \"#FF7A00\" #>  [78] \"#FF7000\" \"#FF6600\" \"#FF5C00\" \"#FF5200\" \"#FF4700\" \"#FF3D00\" \"#FF3300\" \"#FF2900\" \"#FF1F00\" \"#FF1400\" \"#FF0A00\" #>  [89] \"#FF0000\" \"#F50000\" \"#EB0000\" \"#E00000\" \"#D60000\" \"#CC0000\" \"#C20000\" \"#B80000\" \"#AD0000\" \"#A30000\" \"#990000\" #> [100] \"#8F0000\" #> attr(,\"type\") #> [1] \"continuous\" #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop unused data from the plot to reduce the object size — slim_data","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"Drop unused data plot reduce object size","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"slim_data(p)  # S3 method for ggplot slim_data(p)  # S3 method for patchwork slim_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() object.size(p) #> 13984 bytes colnames(p$data) #>  [1] \"mpg\"  \"cyl\"  \"disp\" \"hp\"   \"drat\" \"wt\"   \"qsec\" \"vs\"   \"am\"   \"gear\" \"carb\"  p_slim <- slim_data(p) object.size(p_slim) #> 10912 bytes colnames(p_slim$data) #> [1] \"mpg\" \"cyl\" \"wt\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"Convert seurat object anndata object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"srt_to_adata(   srt,   features = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   convert_tools = FALSE,   convert_misc = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"srt Seurat object. assay_X Assays convert X(main data matrix) anndata object. assay_layers Assays convert layers anndata object. verbose","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata #> AnnData object with n_obs × n_vars = 1000 × 15958 #>     obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'S_score', 'G2M_score', 'nCount_spliced', 'nFeature_spliced', 'nCount_unspliced', 'nFeature_unspliced', 'CellType', 'SubCellType', 'Phase' #>     var: 'features', 'highly_variable_genes', 'highly_variable' #>     obsm: 'PCA', 'UMAP' #>     layers: 'spliced', 'unspliced'  ### Or save as an h5ad file or a loom file # adata$write_h5ad(\"pancreas_sub.h5ad\") # adata$write_loom(\"pancreas_sub.loom\", write_obsm_varm = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":null,"dir":"Reference","previous_headings":"","what":"Blank theme — theme_blank","title":"Blank theme — theme_blank","text":"Blank theme","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blank theme — theme_blank","text":"","code":"theme_blank(   add_coord = TRUE,   xlen_npc = 0.15,   ylen_npc = 0.15,   xlab = \"\",   ylab = \"\",   lab_size = 12,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blank theme — theme_blank","text":"add_coord Whether add coordinate arrows. Default TRUE. xlen_npc length x-axis arrow \"npc\". ylen_npc length y-axis arrow \"npc\". xlab x-axis label. ylab y-axis label. lab_size Label size. ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blank theme — theme_blank","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_blank()  p + theme_blank(xlab = \"x-axis\", ylab = \"y-axis\", lab_size = 16)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"sankey_themes — theme_sankey","title":"sankey_themes — theme_sankey","text":"Minimal themes sankey, alluvial sankey bump plots","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sankey_themes — theme_sankey","text":"","code":"theme_sankey(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_alluvial(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_sankey_bump(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sankey_themes — theme_sankey","text":"base_size base font size, given pts. base_family base font family base_line_size base size line elements base_rect_size base size rect elements","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"SCP theme — theme_scp","title":"SCP theme — theme_scp","text":"default theme SCP plot function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SCP theme — theme_scp","text":"","code":"theme_scp(aspect.ratio = NULL, base_size = 12, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SCP theme — theme_scp","text":"aspect.ratio Aspect ratio panel. base_size Base font size ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"SCP theme — theme_scp","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_scp()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Split a vector into the chunks — tochunks","title":"Split a vector into the chunks — tochunks","text":"Split vector chunks","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split a vector into the chunks — tochunks","text":"","code":"tochunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split a vector into the chunks — tochunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split a vector into the chunks — tochunks","text":"","code":"x <- 1:10 names(x) <- letters[1:10] tochunks(x, nchunks = 3) #> $`1` #> a b c d  #> 1 2 3 4  #>  #> $`2` #> e f g  #> 5 6 7  #>  #> $`3` #>  h  i  j  #>  8  9 10  #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":null,"dir":"Reference","previous_headings":"","what":"Implement similar functions to the unnest function in the tidyr package — unnest","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"Implement similar functions unnest function tidyr package","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"","code":"unnest(data, cols, keep_empty = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"data data frame. cols Columns unnest. keep_empty default, get one row output element list unchopping/unnesting. means size-0 element (like NULL empty data frame), entire row dropped output. want preserve rows, use keep_empty = TRUE replace size-0 elements single row missing values.","code":""}]