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This is the development version of diffcoexp; for the stable release version, see diffcoexp.

Differential Co-expression Analysis

Bioconductor version: Development (3.20)

A tool for the identification of differentially coexpressed links (DCLs) and differentially coexpressed genes (DCGs). DCLs are gene pairs with significantly different correlation coefficients under two conditions. DCGs are genes with significantly more DCLs than by chance.

Author: Wenbin Wei, Sandeep Amberkar, Winston Hide

Maintainer: Wenbin Wei <wenbin.wei2 at>

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


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

if (!require("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:

About diffcoexp PDF R Script
Reference Manual PDF


biocViews Coverage, DifferentialExpression, GeneExpression, ImmunoOncology, Microarray, OneChannel, RNASeq, Sequencing, Software, Transcription, TwoChannel
Version 1.25.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL (>2)
Depends R (>= 3.5), WGCNA, SummarizedExperiment
Imports stats, DiffCorr, psych, igraph, BiocGenerics
System Requirements
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Suggests GEOquery, RUnit
Linking To
Depends On Me
Imports Me ExpHunterSuite, easyDifferentialGeneCoexpression
Suggests Me
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package diffcoexp_1.25.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) diffcoexp_1.25.0.tgz
macOS Binary (arm64) diffcoexp_1.25.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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