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.cn, 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 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 |