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: |
0.1.7 |
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: |
2024-08-21 |
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 [issues need fixing before 2024-09-07] |
Documentation:
Downloads:
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