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CMA

Synthesis of microarray-based classification


Bioconductor version: Release (3.18)

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")):

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("CMA")

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

Documentation

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

browseVignettes("CMA")
CMA_vignette.pdf PDF R Script
Reference Manual PDF

Details

biocViews Classification, DecisionTree, Software
Version 1.60.0
In Bioconductor since BioC 2.3 (R-2.8) (15.5 years)
License GPL (>= 2)
Depends R (>= 2.10), methods, stats, Biobase
Imports
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_1.60.0.tar.gz
Windows Binary CMA_1.60.0.zip
macOS Binary (x86_64) CMA_1.60.0.tgz
macOS Binary (arm64) CMA_1.60.0.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/
Package Downloads Report Download Stats