DOI: 10.18129/B9.bioc.DExMA    

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

Differential Expression Meta-Analysis

Bioconductor version: Development (3.15)

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 <juanantoniovillatorogarcia at>, Pedro Carmona-Sáez <juanantoniovillatorogarcia at>

Maintainer: Juan Antonio Villatoro-García <juanantoniovillatorogarcia at>

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


To install this package, start R (version "4.2") 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.


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biocViews DifferentialExpression, GeneExpression, QualityControl, Software, StatisticalMethod
Version 1.3.0
In Bioconductor since BioC 3.13 (R-4.1) (< 6 months)
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
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