Routines for PLS-based genomic analyses, implementing PLS methods for classification with microarray data and prediction of transcription factor activities from combined ChIP-chip analysis. The >=1.2-1 versions include two new classification methods for microarray data: GSIM and Ridge PLS. The >=1.3 versions includes a new classification method combining variable selection and compression in logistic regression context: RIRLS-SPLS; and an adaptive version of the sparse PLS.
Version: | 1.3-2 |
Depends: | R (≥ 3.0), MASS, boot, parallel |
Published: | 2017-05-02 |
Author: | Anne-Laure Boulesteix, Ghislain Durif, Sophie Lambert-Lacroix, Julie Peyre, and Korbinian Strimmer. |
Maintainer: | Ghislain Durif <gd.dev at libertymail.net> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://CRAN.R-project.org/package=plsgenomics |
NeedsCompilation: | no |
Materials: | README |
In views: | Multivariate |
CRAN checks: | plsgenomics results |
Reference manual: | plsgenomics.pdf |
Package source: | plsgenomics_1.3-2.tar.gz |
Windows binaries: | r-devel: plsgenomics_1.3-2.zip, r-release: plsgenomics_1.3-2.zip, r-oldrel: plsgenomics_1.3-2.zip |
OS X El Capitan binaries: | r-release: plsgenomics_1.3-2.tgz |
OS X Mavericks binaries: | r-oldrel: plsgenomics_1.3-2.tgz |
Old sources: | plsgenomics archive |
Reverse depends: | MAclinical |
Reverse suggests: | musicNMR, PLSbiplot1 |
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