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.


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install.packages("plsgenomics")

1.5-2 by Ghislain Durif, 6 months ago


https://CRAN.R-project.org/package=plsgenomics


Browse source code at https://github.com/cran/plsgenomics


Authors: Anne-Laure Boulesteix <[email protected]> , Ghislain Durif <[email protected]> , Sophie Lambert-Lacroix <[email protected]> , Julie Peyre <[email protected]> , and Korbinian Strimmer <[email protected]>.


Documentation:   PDF Manual  


Task views: Multivariate Statistics


GPL (>= 2) license


Imports MASS, boot, parallel, reshape2, plyr, fields, RhpcBLASctl


Depended on by MAclinical.

Suggested by PLSbiplot1, musicNMR.


See at CRAN