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 163.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
scRNAtools results |
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