Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes R package SRscore version 0.1.2 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>. Software Depends: R (>= 3.5.0) Imports: dplyr, tidyr, utils, rlang Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, tibble, ComplexHeatmap, clusterProfiler, org.At.tair.db, BiocStyle, RColorBrewer, genefilter, DT Yusuke Fukuda <s823631038@kpu.ac.jp> Comprehensive R Archive Network (CRAN) Yusuke Fukuda [aut, cre], Atsushi Fukushima [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=SRscore/LICENSE) 2026-01-08 application/tgz https://CRAN.R-project.org/package=SRscore doi:10.32614/CRAN.package.SRscore