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.
Version: 1.5-3 Depends: R (≥ 3.0) Imports: MASS, boot, parallel, reshape2, plyr, fields, RhpcBLASctl Published: 2024-03-28 DOI: 10.32614/CRAN.package.plsgenomics Author: Anne-Laure Boulesteix, Ghislain Durif, Sophie Lambert-Lacroix, Julie Peyre, and Korbinian Strimmer. Maintainer: Ghislain Durif <gd.dev at libertymail.net> BugReports: https://github.com/gdurif/plsgenomics/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/gdurif/plsgenomics NeedsCompilation: no Materials: README CRAN checks: plsgenomics results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=plsgenomics to link to this page.
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