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 163.com> License: GPL-2 NeedsCompilation: no CRAN checks: scRNAtools results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=scRNAtools to link to this page.
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