plsgenomics

R package plsgenomics: PLS analyses for genomics. This package provides routines for PLS-based genomic analyses. It implements 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.

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References in zbMATH (referenced in 3 articles )

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  1. Morris, Katherine; McNicholas, Paul D.: Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures (2016)
  2. Morris, Katherine; McNicholas, Paul D.; Scrucca, Luca: Dimension reduction for model-based clustering via mixtures of multivariate (t)-distributions (2013)
  3. Krämer, Nicole; Schäfer, Juliane; Boulesteix, Anne-Laure: Regularized estimation of large-scale gene association networks using graphical Gaussian models (2009) ioport