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ReporterScore  

Generalized Reporter Score-Based Enrichment Analysis for Omics Data
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", "0.2.5")



Attach the package and use:
library("ReporterScore")
Maintained by
Chen Peng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-12
Latest Update: 2024-11-28
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 0.2.5, https://cran.r-project.org/web/packages/ReporterScore. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 0.1.1 (2024-01-12 10:50), 0.1.2 (2024-01-15 09:20), 0.1.4 (2024-03-29 17:30), 0.1.5 (2024-06-05 18:00), 0.1.6 (2024-06-25 11:00), 0.1.7 (2024-08-21 11:50), 0.1.8 (2024-08-26 10:40), 0.1.9 (2024-11-28 15:10)
Other packages that cited ReporterScore R package
View ReporterScore citation profile
Other R packages that ReporterScore depends, imports, suggests or enhances
Complete documentation for ReporterScore
Functions, R codes and Examples using the ReporterScore R package
Full ReporterScore package functions and examples
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