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This is the development version of CMA; for the stable release version, see CMA.

Synthesis of microarray-based classification

Bioconductor version: Development (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 cs.uni-sb.de>, Anne-Laure Boulesteix <boulesteix at ibe.med.uni-muenchen.de>, Christoph Bernau <bernau at ibe.med.uni-muenchen.de>.

Maintainer: Roman Hornung <hornung at ibe.med.uni-muenchen.de>

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


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

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

# The following initializes usage of Bioc devel


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 1.61.0
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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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CMA_1.61.0.tar.gz
Windows Binary CMA_1.61.0.zip
macOS Binary (x86_64) CMA_1.61.0.tgz
macOS Binary (arm64) CMA_1.61.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CMA
Bioc Package Browser https://code.bioconductor.org/browse/CMA/
Package Short Url https://bioconductor.org/packages/CMA/
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