Package: GeneScoreR 0.2.0
GeneScoreR: Gene Scoring from Count Tables
Provides methods for automatic calculation of gene scores from gene count tables, including a Z-score method that requires a table of samples being scored and a count table with control samples; a geometric mean method that does not rely on control samples; and a principal component-based method that summarizes gene expression using user-selected principal components. The Z-score and geometric mean approaches are described in Kim et al. (2018) <doi:10.1089/jir.2017.0127>.
Authors:
GeneScoreR_0.2.0.tar.gz
GeneScoreR_0.2.0.zip(r-4.7)GeneScoreR_0.2.0.zip(r-4.6)GeneScoreR_0.2.0.zip(r-4.5)
GeneScoreR_0.2.0.tgz(r-4.6-any)GeneScoreR_0.2.0.tgz(r-4.5-any)
GeneScoreR_0.2.0.tar.gz(r-4.7-any)GeneScoreR_0.2.0.tar.gz(r-4.6-any)
GeneScoreR_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GeneScoreR/json (API)
NEWS
| # Install 'GeneScoreR' in R: |
| install.packages('GeneScoreR', repos = c('https://arissyntakas.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f173e9aa14. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 101 | ||
| source / vignettes | OK | 140 | ||
| linux-release-x86_64 | OK | 91 | ||
| macos-release-arm64 | OK | 181 | ||
| macos-oldrel-arm64 | OK | 138 | ||
| windows-devel | OK | 102 | ||
| windows-release | OK | 55 | ||
| windows-oldrel | OK | 59 | ||
| wasm-release | OK | 80 |
Dependencies:
