plsgenomics: PLS Analyses for Genomics

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: logit-SPLS; and an adaptive version of the sparse PLS.

Getting started

Package details

AuthorAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>, Ghislain Durif <gd.dev@libertymail.net>, Sophie Lambert-Lacroix <sophie.lambert-lacroix@univ-grenoble-alpes.fr>, Julie Peyre <Julie.Peyre@univ-grenoble-alpes.fr>, and Korbinian Strimmer <k.strimmer@imperial.ac.uk>.
MaintainerGhislain Durif <gd.dev@libertymail.net>
LicenseGPL (>= 2)
Version1.5-2
URL https://CRAN.R-project.org/package=plsgenomics
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("plsgenomics")

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plsgenomics documentation built on May 2, 2019, 3:48 p.m.