Automate downstream visualization & pathway analysis in RNAseq analysis. 'RVA' is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.
Version: | 0.0.5 |
Depends: | R (≥ 2.10) |
Imports: | GSVAdata (≥ 1.22.0), clusterProfiler (≥ 3.15.1), data.table (≥ 1.12.8), edgeR (≥ 3.28.1), org.Hs.eg.db (≥ 3.10.0), ComplexHeatmap (≥ 2.2.0), GSEABase (≥ 1.48.0), circlize (≥ 0.4.10), dplyr (≥ 1.0.0), ggplot2 (≥ 3.3.2), ggpubr (≥ 0.4.0), grid (≥ 3.6.1), gridExtra (≥ 2.3), haven (≥ 2.3.1), msigdbr (≥ 7.1.1), plotly (≥ 4.9.2.1), purrr (≥ 0.3.4), rWikiPathways (≥ 1.6.1), stringr (≥ 1.4.0), tibble, tidyr (≥ 1.1.0), XML, rlang |
Suggests: | knitr, rmarkdown |
Published: | 2021-11-01 |
DOI: | 10.32614/CRAN.package.RVA |
Author: | Xingpeng Li [aut, cre] |
Maintainer: | Xingpeng Li <xingpeng.li at pfizer.com> |
License: | GPL-2 |
URL: | https://github.com/THERMOSTATS/RVA |
NeedsCompilation: | no |
Materials: | README |
In views: | Omics |
CRAN checks: | RVA results |
Reference manual: | RVA.pdf |
Vignettes: |
RNAseq Visualization Automation |
Package source: | RVA_0.0.5.tar.gz |
Windows binaries: | r-devel: RVA_0.0.5.zip, r-release: RVA_0.0.5.zip, r-oldrel: RVA_0.0.5.zip |
macOS binaries: | r-release (arm64): RVA_0.0.5.tgz, r-oldrel (arm64): not available, r-release (x86_64): RVA_0.0.5.tgz, r-oldrel (x86_64): not available |
Old sources: | RVA archive |
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