CMA

Synthesis of microarray-based classification

Bioconductor version: Release (2.7)

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, Anne-Laure Boulesteix , Christoph Bernau .

Maintainer: Christoph Bernau

To install this package, start R and enter:

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

Documentation

PDF R Script CMA_vignette.pdf

Reference Manual

Details

biocViews Statistics, Classification
Depends R, methods, stats, Biobase
Imports
Suggests MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st
System Requirements
License GPL (>= 2)
URL
Depends On Me
Imports Me
Suggests Me
Version 1.8.1

Package Downloads

Package Source CMA_1.8.1.tar.gz
Windows Binary CMA_1.8.1.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary CMA_1.8.1.tgz
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