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SRscore  

Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes
View on CRAN: Click here


Download and install SRscore package within the R console
Install from CRAN:
install.packages("SRscore")

Install from Github:
library("remotes")
install_github("cran/SRscore")

Install by package version:
library("remotes")
install_version("SRscore", "0.1.2")



Attach the package and use:
library("SRscore")
Maintained by
Yusuke Fukuda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-08
Latest Update: 2026-01-08
Description:
Stress Response score (SRscore) is a stress responsiveness measure for transcriptome datasets and is based on the vote-counting method. The SRscore is determined to evaluate and score genes on the basis of the consistency of the direction of their regulation (Up-regulation, Down-regulation, or No change) under stress conditions across multiple analyzed research projects. This package is based on the HN-score (score based on the ratio of gene expression between hypoxic and normoxic conditions) proposed by Tamura and Bono (2022) <doi:10.3390/life12071079>, and can calculate both the original method and an extended calculation method described in Fukuda et al. (2025) <doi:10.1093/plphys/kiaf105>.
How to cite:
Yusuke Fukuda (2026). SRscore: Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes. R package version 0.1.2, https://cran.r-project.org/web/packages/SRscore. Accessed 24 Oct. 2026.
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Functions, R codes and Examples using the SRscore R package
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