CMA

Synthesis of microarray-based classification

Bioconductor version: Release (2.14)

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: Christoph Bernau <bernau at ibe.med.uni-muenchen.de>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("CMA")

To cite this package in a publication, start R and enter:

    citation("CMA")

Documentation

PDF R Script CMA_vignette.pdf
PDF   Reference Manual

Details

biocViews Classification, Software
Version 1.22.0
In Bioconductor since BioC 2.3 (R-2.8)
License GPL (>= 2)
Depends R (>= 2.10), methods, stats, Biobase
Imports
Suggests MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source CMA_1.22.0.tar.gz
Windows Binary CMA_1.22.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CMA_1.22.0.tgz
Mac OS X 10.9 (Mavericks)
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