DOI: 10.18129/B9.bioc.DExMA    

Differential Expression Meta-Analysis

Bioconductor version: Release (3.14)

performing all the steps of gene expression meta-analysis without eliminating those genes that are presented in at least two datasets. 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 data sets 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 "4.1") and enter:

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


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


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


biocViews DifferentialExpression, GeneExpression, QualityControl, Software, StatisticalMethod
Version 1.2.0
In Bioconductor since BioC 3.13 (R-4.1) (0.5 years)
License GPL-2
Depends R (>= 4.1), DExMAdata
Imports Biobase, GEOquery, impute, limma, pheatmap, plyr, scales, snpStats, sva, swamp, stats, methods, utils
Suggests BiocStyle, qpdf, BiocGenerics, RUnit
Depends On Me
Imports Me
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Follow Installation instructions to use this package in your R session.

Source Package DExMA_1.2.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra) DExMA_1.2.0.tgz
Source Repository git clone
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