MPAgenomics: Multi-Patient Analysis of Genomic Markers

Preprocess and analysis of genomic data. MPAgenomics provides wrappers from commonly used packages to streamline their repeated manipulation, offering an easy-to-use pipeline. The segmentation of successive multiple profiles is performed with an automatic choice of parameters involved in the wrapped packages. Considering multiple profiles in the same time, MPAgenomics wraps efficient penalized regression methods to select relevant markers associated with a given outcome.

Version: 1.1.2
Imports: R.utils, changepoint (≥ 1.1), glmnet, cghseg, HDPenReg (≥ 0.90), spikeslab
Suggests: CGHcall, aroma.affymetrix,, aroma.core, aroma.light, snowfall, R.devices, R.filesets, R.methodsS3, R.oo, matrixStats
Published: 2014-11-05
Author: Quentin Grimonprez with contributions from Guillemette Marot and Samuel Blanck. Some functions use code created by Sjoerd Vosse, Mark van de Wiel, Pierre Neuvial, Henrik Bengtsson.
Maintainer: Samuel Blanck <samuel.blanck at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Inria 2012-2014.
NeedsCompilation: no
Citation: MPAgenomics citation info
Materials: NEWS
CRAN checks: MPAgenomics results


Reference manual: MPAgenomics.pdf
Vignettes: Using MPAgenomics
Package source: MPAgenomics_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: MPAgenomics_1.1.2.tgz
OS X Mavericks binaries: r-oldrel: MPAgenomics_1.1.2.tgz
Old sources: MPAgenomics archive


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