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.cn, 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 univ-lille.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Citation: |
MPAgenomics citation info |
| Materials: |
NEWS |
| CRAN checks: |
MPAgenomics results |