Package: ReporterScore
Type: Package
Title: Generalized Reporter Score-Based Enrichment Analysis for Omics
        Data
Version: 0.2.6
Authors@R: 
    person("Chen", "Peng", email ="bfzede@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9449-7606"))
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
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
Depends: R (>= 4.2.0)
VignetteBuilder: knitr
BugReports: https://github.com/Asa12138/ReporterScore/issues
URL: https://github.com/Asa12138/ReporterScore
Config/pak/sysreqs: libicu-dev
Repository: https://asa12138.r-universe.dev
Date/Publication: 2026-04-28 08:50:35 UTC
RemoteUrl: https://github.com/asa12138/reporterscore
RemoteRef: HEAD
RemoteSha: 8df9e8cbd68c04face69e030273f7e536b26c6bc
NeedsCompilation: no
Packaged: 2026-07-03 15:54:36 UTC; root
Author: Chen Peng [aut, cre] (ORCID: <https://orcid.org/0000-0002-9449-7606>)
Maintainer: Chen Peng <bfzede@gmail.com>