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: 0.1.4
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: 2024-03-29
Author: Chen Peng ORCID 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.pdf
Vignettes: ReporterScore

Downloads:

Package source: ReporterScore_0.1.4.tar.gz
Windows binaries: r-devel: ReporterScore_0.1.4.zip, r-release: ReporterScore_0.1.4.zip, r-oldrel: ReporterScore_0.1.4.zip
macOS binaries: r-release (arm64): ReporterScore_0.1.4.tgz, r-oldrel (arm64): ReporterScore_0.1.4.tgz, r-release (x86_64): ReporterScore_0.1.4.tgz
Old sources: ReporterScore archive

Linking:

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