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 (may not be active yet) |
| 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:
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