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Differential Expression Meta-Analysis

Bioconductor version: Release (3.19)

performing all the steps of gene expression meta-analysis considering the possible existence of missing genes. It provides the necessary functions to be able to perform the different methods of gene expression meta-analysis. In addition, it contains functions to apply quality controls, download GEO datasets and show graphical representations of the results.

Author: Juan Antonio Villatoro-García [aut, cre], Pedro Carmona-Sáez [aut]

Maintainer: Juan Antonio Villatoro-García <juanantoniovillatorogarcia at>

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


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:

Differential Expression Meta-Analysis with DExMA package PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, QualityControl, Software, StatisticalMethod
Version 1.12.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-2
Depends R (>= 4.1), DExMAdata
Imports Biobase, GEOquery, impute, limma, pheatmap, plyr, scales, snpStats, sva, swamp, stats, methods, utils, bnstruct, RColorBrewer, grDevices
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Suggests BiocStyle, qpdf, BiocGenerics, RUnit
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Follow Installation instructions to use this package in your R session.

Source Package DExMA_1.12.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) DExMA_1.12.0.tgz
macOS Binary (arm64) DExMA_1.12.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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