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Synthesis of microarray-based classification

Bioconductor version: Release (3.19)

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.

Author: Martin Slawski <ms at>, Anne-Laure Boulesteix <boulesteix at>, Christoph Bernau <bernau at>.

Maintainer: Roman Hornung <hornung at>

Citation (from within R, enter citation("CMA")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

CMA_vignette.pdf PDF R Script
Reference Manual PDF


biocViews Classification, DecisionTree, Software
Version 1.62.0
In Bioconductor since BioC 2.3 (R-2.8) (15.5 years)
License GPL (>= 2)
Depends R (>= 2.10), methods, stats, Biobase
System Requirements
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Suggests MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm
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Follow Installation instructions to use this package in your R session.

Source Package CMA_1.62.0.tar.gz
Windows Binary
macOS Binary (x86_64) CMA_1.62.0.tgz
macOS Binary (arm64) CMA_1.62.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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