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ReporterScore
View on CRAN: Click
here
Download and install ReporterScore package within the R console
Install from CRAN:
install.packages("ReporterScore")
Install from Github:
library("remotes")
install_github("cran/ReporterScore")
Install by package version:
library("remotes")
install_version("ReporterScore", "0.1.9")
Attach the package and use:
library("ReporterScore")
Maintained by
Chen Peng
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ReporterScore . https://github.com/Asa12138/ReporterScore/issues . https://github.com/Asa12138/ReporterScore . ReporterScore citation info . ReporterScore results . ReporterScore.pdf . ReporterScore . ReporterScore_0.1.9.tar.gz . ReporterScore_0.1.9.zip . ReporterScore_0.1.9.zip . ReporterScore_0.1.9.zip . ReporterScore_0.1.9.tgz . ReporterScore_0.1.9.tgz . ReporterScore_0.1.9.tgz . ReporterScore_0.1.9.tgz . ReporterScore archive . https://CRAN.R-project.org/package=ReporterScore .
First Published: 2024-01-12
Latest Update: 2024-01-15
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.
How to cite:
Chen Peng (2024). ReporterScore: Generalized Reporter Score-Based Enrichment Analysis for Omics Data. R package version 0.1.9, https://cran.r-project.org/web/packages/ReporterScore. Accessed 01 May. 2025.
Previous versions and publish date:
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