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: 0.1.9 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: 2024-11-28 DOI: 10.32614/CRAN.package.ReporterScore 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ReporterScore to link to this page.
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