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 <[email protected]>, Ghislain Durif <[email protected]>, Sophie Lambert-Lacroix <[email protected]>, Julie Peyre <[email protected]>, and Korbinian Strimmer <[email protected]>.
Date of publication2015-05-11 14:57:01
MaintainerGhislain Durif <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("plsgenomics", repos="")

Try the plsgenomics package in your browser

Any scripts or data that you put into this service are public.

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