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CMA

Synthesis of microarray-based classification

Bioconductor version: 3.24 · Package version: 1.71.0

This package provides a comprehensive collection of various microarray-based classification algorithms both from Machine Learning and Statistics. Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed combined or stepwise in a user-friendly environment.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CMA")

Details

MaintainerRoman Hornung <hornung@ibe.med.uni-muenchen.de>
AuthorMartin Slawski <ms@cs.uni-sb.de>, Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>, Christoph Bernau <bernau@ibe.med.uni-muenchen.de>.
LicenseGPL (>= 2)
Downloads rank663
Source branchdevel
biocViewsClassification, DecisionTree, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageCMA_1.71.0.tar.gz
Windows binary (x86_64)CMA_1.71.0.zip
macOS binary (arm64)CMA_1.71.0.tgz
macOS binary (x86_64)CMA_1.71.0.tgz
Dependencies

Depends: R (>= 2.10), methods, stats, Biobase

Suggests: MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm