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 = "s823631038@kpu.ac.jp"),
              person(given = "Atsushi",
                    family = "Fukushima",
                    role = "aut"))
Maintainer: Yusuke Fukuda <s823631038@kpu.ac.jp>
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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
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)
NeedsCompilation: no
Packaged: 2026-01-07 09:36:19 UTC; kpufukuda
Repository: CRAN
Date/Publication: 2026-01-08 18:50:19 UTC
Built: R 4.6.0; ; 2026-02-14 04:33:01 UTC; windows
