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: |
0.2.5 |
| 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, ggkegg, clusterProfiler, enrichplot, pathview, GSA, vegan, MetaNet, igraph, ggraph, PADOG, safe, rSEA, GSVA |
| Published: |
2026-02-20 |
| DOI: |
10.32614/CRAN.package.ReporterScore |
| Author: |
Chen Peng  [aut,
cre] |
| Maintainer: |
Chen Peng <bfzede at gmail.com> |
| 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:
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