MPAgenomics: Multi-Patient Analysis of Genomic Markers

Preprocessing 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. Grimonprez et al. (2014) <doi:10.1186/s12859-014-0394-y>.

Version: 1.2.3
Imports: R.utils, changepoint (≥ 1.1), glmnet, HDPenReg (≥ 0.90), spikeslab
Suggests: CGHcall, aroma.affymetrix,, aroma.core, aroma.light, snowfall, R.devices, R.filesets, R.methodsS3, R.oo, matrixStats
Published: 2021-03-30
Author: Quentin Grimonprez [aut], Sjoerd Vosse [ctb], Mark van de Wiel [ctb], Pierre Neuvial [ctb], Henrik Bengtsson [ctb], Ilari Scheinin [ctb], Guillemette Marot [ctb], Samuel Blanck [aut, cre], Inria [cph]
Maintainer: Samuel Blanck <samuel.blanck at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: MPAgenomics citation info
Materials: NEWS
CRAN checks: MPAgenomics results


Reference manual: MPAgenomics.pdf
Vignettes: Using MPAgenomics


Package source: MPAgenomics_1.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MPAgenomics_1.2.3.tgz, r-release (x86_64): MPAgenomics_1.2.3.tgz, r-oldrel: MPAgenomics_1.2.3.tgz
Old sources: MPAgenomics archive


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