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 |
| Author: | Qian Yang |
| Maintainer: | Qian Yang <bioqianyang at 163.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | scRNAtools results |
| Reference manual: | scRNAtools.pdf |
| Package source: | scRNAtools_1.0.tar.gz |
| Windows binaries: | r-devel: scRNAtools_1.0.zip, r-release: scRNAtools_1.0.zip, r-oldrel: scRNAtools_1.0.zip |
| macOS binaries: | r-release: not available, r-oldrel: not available |
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