ReporterScore: Generalized Reporter Score-Based Enrichment Analysis for Omics Data

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: 0.1.6
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: 2024-06-25
DOI: 10.32614/CRAN.package.ReporterScore
Author: Chen Peng ORCID iD [aut, cre]
Maintainer: Chen Peng <pengchen2001 at>
License: GPL-3
NeedsCompilation: no
Citation: ReporterScore citation info
Materials: NEWS
CRAN checks: ReporterScore results


Reference manual: ReporterScore.pdf
Vignettes: ReporterScore


Package source: ReporterScore_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ReporterScore_0.1.6.tgz, r-oldrel (arm64): ReporterScore_0.1.6.tgz, r-release (x86_64): ReporterScore_0.1.6.tgz, r-oldrel (x86_64): ReporterScore_0.1.6.tgz
Old sources: ReporterScore archive


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