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DExMA

This is the released version of DExMA; for the devel version, see DExMA.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Differential Expression Meta-Analysis


Bioconductor version: Release (3.23)

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 gmail.com>

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

Juan Antonio Villatoro-García, Pedro Carmona-Sáez. DExMA: Differential Expression Meta-Analysis. doi:10.18129/B9.bioc.DExMA, R package version 1.20.0, https://bioconductor.org/packages/DExMA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DExMA")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DExMA")
Differential Expression Meta-Analysis with DExMA package PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews DifferentialExpression, GeneExpression, QualityControl, Software, StatisticalMethod
Version1.20.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 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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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package DExMA_1.20.0.tar.gz
Windows Binary (x86_64) DExMA_1.20.0.zip
macOS Binary (big-sur-x86_64) DExMA_1.20.0.tgz
macOS Binary (sonoma-arm64) DExMA_1.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/DExMA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/DExMA
Package Short Url https://bioconductor.org/packages/DExMA/
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