Increment version number to 0.5.3

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: SCP
 Type: Package
 Title: Single Cell Pipeline
-Version: 0.5.2
+Version: 0.5.3
 Author: Hao Zhang
 Maintainer: Hao Zhang <[email protected]>
 Description: An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

inst/python/SCP_analysis.py

@@ -265,13 +265,18 @@ def SCVELO(adata=None, h5ad=None, group_by=None, palette=None,
           if m != "dynamical":
             scv.tl.rank_velocity_genes(adata, vkey=vkey, groupby=group_by)
             adata.var[vkey+"_score"]=adata.var["spearmans_score"]
-            df = scv.get_df(adata.uns["rank_velocity_genes"]["names"])
-            adata.uns["rank_"+vkey+"_genes"]=df
+            df1 = scv.get_df(adata.uns["rank_velocity_genes"]["names"])
+            adata.uns["rank_"+vkey+"_genenames"]=df1
+            df2 = scv.get_df(adata.uns["rank_velocity_genes"]["scores"])
+            adata.uns["rank_"+vkey+"_genescores"]=df2
+            del adata.uns["rank_velocity_genes"]
           else:
             scv.tl.rank_dynamical_genes(adata, groupby=group_by)
-            df = scv.get_df(adata.uns['rank_dynamical_genes']['names'])
-            adata.uns["rank_"+vkey+"_genes"]=df
-
+            df1 = scv.get_df(adata.uns['rank_dynamical_genes']['names'])
+            adata.uns["rank_"+vkey+"_genenames"]=df1
+            df2 = scv.get_df(adata.uns['rank_dynamical_genes']['scores'])
+            adata.uns["rank_"+vkey+"_genescores"]=df2
+            del adata.uns["rank_dynamical_genes"]
 
           for cluster in df.columns:
             #df[0:1].values.ravel()[:12] ### by row