plsgenomics: PLS Analyses for Genomics
Version 1.3-1

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.

Getting started

Package details

AuthorAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>, Ghislain Durif <ghislain.durif@univ-lyon1.fr>, Sophie Lambert-Lacroix <Sophie.Lambert@imag.fr>, Julie Peyre <Julie.Peyre@imag.fr>, and Korbinian Strimmer <strimmer@uni-leipzig.de>.
Date of publication2015-05-11 14:57:01
MaintainerGhislain Durif <ghislain.durif@univ-lyon1.fr>
LicenseGPL (>= 2)
Version1.3-1
URL http://cran.r-project.org/web/packages/plsgenomics/index.html
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("plsgenomics", repos="http://R-Forge.R-project.org")

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plsgenomics documentation built on May 31, 2017, 2:23 a.m.