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CMA

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Synthesis of microarray-based classification


Bioconductor version: Development (3.24)

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")):

Martin Slawski, Anne-Laure Boulesteix, Christoph Bernau. CMA: Synthesis of microarray-based classification. doi:10.18129/B9.bioc.CMA, R package version 1.71.0, https://bioconductor.org/packages/CMA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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 ManualPDF

Details

biocViews Classification, DecisionTree, Software
Version1.71.0
In Bioconductor sinceBioC 2.3 (R-2.8) (18 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_1.71.0.tar.gz
Windows Binary (x86_64) CMA_1.71.0.zip
macOS Binary (big-sur-x86_64) CMA_1.71.0.tgz
macOS Binary (sonoma-arm64) CMA_1.71.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CMA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CMA
Package Short Url https://bioconductor.org/packages/CMA/
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