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ReporterScore: Generalized Reporter Score-Based Enrichment Analysis for OmicsData

Inspired by the classic 'RSA', we developed the improved 'Generalized Reporter Score-based Analysis (GRSA)' method, implemented in the R package 'ReporterScore', along with comprehensive visualization methods and pathway databases. 'GRSA' is a threshold-free method that works well with all types of biomedical features, such as genes, chemical compounds, and microbial species. Importantly, the 'GRSA' supports multi-group and longitudinal experimental designs, because of the included multi-group-compatible statistical methods.

Version:0.1.9
Depends:R (≥ 4.2.0)
Imports:magrittr,dplyr, stats,ggplot2 (≥ 3.2.0),pcutils (≥0.2.5), utils,scales,ggnewscale,ggrepel,reshape2,stringr,foreach
Suggests:knitr,rmarkdown,plyr,e1071,factoextra,snow,doSNOW,pheatmap,readr,R.utils,KEGGREST,clusterProfiler,enrichplot,pathview,GSA,vegan,MetaNet,igraph,ggraph,PADOG,safe,rSEA,GSVA
Published:2024-11-28
DOI:10.32614/CRAN.package.ReporterScore
Author:Chen PengORCID iD [aut, cre]
Maintainer:Chen Peng <pengchen2001 at zju.edu.cn>
BugReports:https://github.com/Asa12138/ReporterScore/issues
License:GPL-3
URL:https://github.com/Asa12138/ReporterScore
NeedsCompilation:no
Citation:ReporterScore citation info
Materials:NEWS
CRAN checks:ReporterScore results

Documentation:

Reference manual:ReporterScore.html ,ReporterScore.pdf
Vignettes:ReporterScore (source,R code)

Downloads:

Package source: ReporterScore_0.1.9.tar.gz
Windows binaries: r-devel:ReporterScore_0.1.9.zip, r-release:ReporterScore_0.1.9.zip, r-oldrel:ReporterScore_0.1.9.zip
macOS binaries: r-release (arm64):ReporterScore_0.1.9.tgz, r-oldrel (arm64):ReporterScore_0.1.9.tgz, r-release (x86_64):ReporterScore_0.1.9.tgz, r-oldrel (x86_64):ReporterScore_0.1.9.tgz
Old sources: ReporterScore archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ReporterScoreto link to this page.


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