scRNAtools: Single Cell RNA Sequencing Data Analysis Tools

We integrated the common analysis methods utilized in single cell RNA sequencing data, which included cluster method, principal components analysis (PCA), the filter of differentially expressed genes, pathway enrichment analysis and correlated analysis methods.

Version: 1.0
Depends: R (≥ 2.10), foreach, base
Imports: ALL, ConsensusClusterPlus, scatterplot3d, ggplot2, Rtsne, limma, edgeR, TPEA, Rmisc, lattice, plyr, ggthemes, reshape2, PerformanceAnalytics, corrplot, Hmisc, igraph, survival
Suggests: grid
Published: 2018-07-05
DOI: 10.32614/CRAN.package.scRNAtools
Author: Qian Yang
Maintainer: Qian Yang <bioqianyang at>
License: GPL-2
NeedsCompilation: no
CRAN checks: scRNAtools results


Reference manual: scRNAtools.pdf


Package source: scRNAtools_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): scRNAtools_1.0.tgz, r-oldrel (arm64): scRNAtools_1.0.tgz, r-release (x86_64): scRNAtools_1.0.tgz, r-oldrel (x86_64): scRNAtools_1.0.tgz


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