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Differential gene co-expression

Bioconductor version: Release (3.19)

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.

Author: Jakob Peder Pettersen [aut, cre]

Maintainer: Jakob Peder Pettersen <jakobpeder.pettersen at>

Citation (from within R, enter citation("csdR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

csdR HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Network, Software
Version 1.10.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License GPL-3
Depends R (>= 4.1.0)
Imports WGCNA, glue, RhpcBLASctl, matrixStats, Rcpp
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Suggests rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle, magrittr, igraph, dplyr
Linking To Rcpp
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Follow Installation instructions to use this package in your R session.

Source Package csdR_1.10.0.tar.gz
Windows Binary
macOS Binary (x86_64) csdR_1.10.0.tgz
macOS Binary (arm64) csdR_1.10.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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