ReporterScore: Generalized Reporter Score-Based Enrichment Analysis for Omics Data (original) (raw)
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: | 0.1.8 |
|---|---|
| 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: | 2024-08-26 |
| DOI: | 10.32614/CRAN.package.ReporterScore |
| Author: | Chen Peng  [aut, cre] |
| Maintainer: | Chen Peng |
| 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 |
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