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 [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, r-oldrel (x86_64): ReporterScore_0.1.4.tgz
Old sources:	ReporterScore archive

Linking:

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