MPAgenomics provides functions to preprocess and analyze genomic
data. It 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: |
1.1.0 |
Imports: |
R.utils, changepoint (≥ 1.1), glmnet, cghseg |
Suggests: |
HDPenReg, CGHcall, aroma.affymetrix, aroma.cn, snowfall |
Published: |
2014-07-23 |
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 inria.fr> |
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 |