RVA: RNAseq Visualization Automation

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
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
CRAN checks:	RVA results

Documentation:

Reference manual:	RVA.pdf
Vignettes:	RNAseq Visualization Automation

Downloads:

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): not available, r-oldrel (arm64): not available, r-release (x86_64): RVA_0.0.5.tgz, r-oldrel (x86_64): RVA_0.0.5.tgz
Old sources:	RVA archive

Linking:

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