Package: SRscore Type: Package Title: Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes Version: 0.1.2 Author: Yusuke Fukuda [aut, cre], Atsushi Fukushima [aut] Authors@R: c(person(given = "Yusuke", family = "Fukuda", role = c("aut", "cre"), email = "ysk420140@gmail.com"), person(given = "Atsushi", family = "Fukushima", role = "aut")) Maintainer: Yusuke Fukuda 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) , and can calculate both the original method and an extended calculation method described in Fukuda et al. (2025) . License: MIT + file LICENSE Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Roxygen: list(markdown = TRUE) Imports: dplyr, tidyr, utils, rlang Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, tibble, ComplexHeatmap, clusterProfiler, org.At.tair.db, BiocStyle, RColorBrewer, genefilter, DT Config/testthat/edition: 3 VignetteBuilder: knitr Depends: R (>= 3.5.0) Config/pak/sysreqs: libicu-dev Repository: https://fusk-kpu.r-universe.dev Date/Publication: 2026-03-24 11:20:50 UTC RemoteUrl: https://github.com/fusk-kpu/srscore RemoteRef: HEAD RemoteSha: c47cbea2c16b503c7887c5fe118ba6ca2977f04f NeedsCompilation: no Packaged: 2026-10-31 08:54:41 UTC; root