DOI: 10.18129/B9.bioc.csdR    

This is the development version of csdR; to use it, please install the devel version of Bioconductor.

Differential gene co-expression

Bioconductor version: Development (3.14)

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 gmail.com>

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


To install this package, start R (version "4.1") and enter:

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

# The following initializes usage of Bioc devel


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:



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biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Network, Software
Version 0.99.8
In Bioconductor since BioC 3.14 (R-4.1)
License GPL-3
Depends R (>= 4.1.0)
Imports WGCNA, glue, RhpcBLASctl, matrixStats, Rcpp
LinkingTo Rcpp
Suggests rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle, magrittr, igraph, dplyr
URL https://almaaslab.github.io/csdR https://github.com/AlmaasLab/csdR
BugReports https://github.com/AlmaasLab/csdR/issues
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Follow Installation instructions to use this package in your R session.

Source Package csdR_0.99.8.tar.gz
Windows Binary csdR_0.99.8.zip (32- & 64-bit)
macOS 10.13 (High Sierra) csdR_0.99.8.tgz
Source Repository git clone https://git.bioconductor.org/packages/csdR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/csdR
Package Short Url https://bioconductor.org/packages/csdR/
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