SRscore: Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes

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>.

Version:	0.1.2
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
Published:	2026-01-08
DOI:	10.32614/CRAN.package.SRscore
Author:	Yusuke Fukuda [aut, cre], Atsushi Fukushima [aut]
Maintainer:	Yusuke Fukuda <s823631038 at kpu.ac.jp>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	SRscore results

Documentation:

Reference manual:	SRscore.html , SRscore.pdf
Vignettes:	SRscore (source, R code)

Downloads:

Package source:	SRscore_0.1.2.tar.gz
Windows binaries:	r-devel: SRscore_0.1.2.zip, r-release: not available, r-oldrel: SRscore_0.1.2.zip
macOS binaries:	r-release (arm64): SRscore_0.1.2.tgz, r-oldrel (arm64): SRscore_0.1.2.tgz, r-release (x86_64): SRscore_0.1.2.tgz, r-oldrel (x86_64): SRscore_0.1.2.tgz

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