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:Aris Syntakas [aut, cre]

GeneScoreR_0.2.0.tar.gz
GeneScoreR_0.2.0.zip(r-4.7-any)GeneScoreR_0.2.0.zip(r-4.6-any)GeneScoreR_0.2.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
GeneScoreR/json (API)

# Install 'GeneScoreR' in R:
install.packages('GeneScoreR', repos = c('https://arissyntakas.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 261 downloads 3 exports 0 dependencies

Last updated from:f173e9aa14. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK81
source / vignettesOK138
linux-releaseOK81
macos-releaseOK132
macos-oldrelOK162
windows-develOK52
windows-releaseOK52
windows-oldrelOK64
wasm-releaseOK69

Exports:geomeanpcscorezscore

Dependencies: