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DESCRIPTION
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DESCRIPTION
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Package: scMINER
Type: Package
Title: Single-cell Mutual Information-based Network Enginerring Ranger
Version: 1.1.0
Authors@R: c(
person(given = "Qingfei", family = "Pan", email = "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0243-6898")),
person(given = "Jiayu", family = "Zhou", email = "[email protected]", role = c("aut")),
person(given = "Liang", family = "Ding", email = "[email protected]", role = c("aut")),
person(given = "Hao", family = "Shi", email = "[email protected]", role = c("aut")),
person(given = "Xinran", family = "Dong", email = "[email protected]", role = c("aut")),
person("Yu Lab @ St Jude Children's Research Hospital", role = "fnd"))
Description: scMINER is a mutual information-based framework for single-cell/nucleus RNA-Seq data
analysis. It enables the mutual information-based clustering, cell type-specific gene network
reverse engineering and protein activity inference for not only transcriptional factors (TFs)
but also signaling genes (SIGs) on a cell type-specific basis. scMINER can identify the hidden
drivers underlying cellular lineage differentiation, tissue specification and beyond.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: TRUE
LazyDataCompression:xz
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends:
R (>= 4.0),
base (>= 4.2.2),
Biobase (>= 2.50.0),
Matrix (>= 1.5.3),
methods (>= 4.0.3),
ggplot2 (>= 3.3.3),
stats (>= 4.0.3)
Imports:
anndata (>= 0.7.5.3),
dplyr (>= 1.0.6),
gridExtra (>= 2.3),
igraph (>= 1.2.6),
limma (>= 3.46.0),
pheatmap (>= 1.0.12),
reshape2 (>= 1.4.4),
rmarkdown (>= 2.8),
sessioninfo (>= 1.2.2),
RColorBrewer
Suggests:
knitr,
kableExtra,
openxlsx (>= 4.2.5.2),
hdf5r (>= 1.3.10),
Seurat (>= 5.0.0),
SuperCell (>= 1.0),
testthat (>= 3.0.0)
Remotes:
github::GfellerLab/SuperCell
VignetteBuilder: knitr
URL: https://jyyulab.github.io/scMINER/