Package: ReporterScore
Type: Package
Title: Generalized Reporter Score-Based Enrichment Analysis for Omics
        Data
Version: 0.1.9
Authors@R: 
    person("Chen", "Peng", email ="pengchen2001@zju.edu.cn", 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: 7.2.3
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, 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
NeedsCompilation: no
Packaged: 2024-11-28 13:55:48 UTC; asa
Author: Chen Peng [aut, cre] (<https://orcid.org/0000-0002-9449-7606>)
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>
Repository: CRAN
Date/Publication: 2024-11-28 14:10:06 UTC
Built: R 4.6.0; ; 2025-11-13 04:41:28 UTC; windows
