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csdR

Differential gene co-expression

Bioconductor version: 3.23 · Package version: 1.18.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

This package contains functionality to run differential gene co-expression across two different conditions. The algorithm is inspired by Voigt et al. 2017 and finds Conserved, Specific and Differentiated genes (hence the name CSD). This package include efficient and variance calculation by bootstrapping and Welford's algorithm.

DOI: 10.18129/B9.bioc.csdR

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("csdR")

Details

MaintainerJakob Peder Pettersen <jakobpeder.pettersen@gmail.com>
AuthorJakob Peder Pettersen [aut, cre] (ORCID: <https://orcid.org/0000-0002-3485-1634>)
LicenseGPL-3
URLhttps://almaaslab.github.io/csdR, https://github.com/AlmaasLab/csdR
Bug Reportshttps://github.com/AlmaasLab/csdR/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GeneExpression, GraphAndNetwork, Network, Software
Package Short Url https://bioconductor.org/packages/csdR/

Citation

From within R, enter citation("csdR"):

Jakob Peder Pettersen. csdR: Differential gene co-expression. doi:10.18129/B9.bioc.csdR, R package version 1.18.0, https://bioconductor.org/packages/csdR.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecsdR_1.18.0.tar.gz
Windows binary (x86_64)csdR_1.17.0.zip
macOS binary (arm64)csdR_1.18.0.tgz
macOS binary (x86_64)csdR_1.18.0.tgz
Dependencies

Depends: R (>= 4.1.0)

Imports: WGCNA, glue, RhpcBLASctl, matrixStats, Rcpp

LinkingTo: Rcpp

Suggests: rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle, magrittr, igraph, dplyr