plsgenomics

swMATH7949CRANplsgenomicsMaRDI QIDQ19965

PLS Analyses for Genomics

Last update: 27 November 2023

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 1.5-2, 1.0, 1.1.1, 1.1.2, 1.1, 1.2-1, 1.2-2, 1.2-4, 1.2-6, 1.2, 1.3-1, 1.3-2, 1.3, 1.5-1, 1.5, 1.5-2.1

Source code repository: https://github.com/cran/plsgenomics

Description

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.

Related Items (11)

InfoGram and admissible machine learning ⋮ Model-free feature screening for ultrahigh dimensional data via a Pearson chi-square based index ⋮ Comparative study of L₁ regularized logistic regression methods for variable selection ⋮ Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures ⋮ Ensemble of penalized logistic models for classification of high-dimensional data ⋮ Dimension reduction for model-based clustering via mixtures of multivariate \(t\)-distributions ⋮ [HDDA sparse subspace constrained partial least squares] ⋮ MultiGroupO ⋮ A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting ⋮ An empirical comparison of two approaches for CDPCA in high-dimensional data ⋮ Prediction of tumour pathological subtype from genomic profile using sparse logistic regression with random effects

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