CMA

DOI: 10.18129/B9.bioc.CMA    

Synthesis of microarray-based classification

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CMA")

Documentation

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

browseVignettes("CMA")

 

PDF	R Script	CMA_vignette.pdf
PDF		Reference Manual

Details

biocViews	Classification, DecisionTree, Software
Version	1.36.0
In Bioconductor since	BioC 2.3 (R-2.8) (9.5 years)
License	GPL (>= 2)
Depends	R (>= 2.10), methods, stats, Biobase
Imports
LinkingTo
Suggests	MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	CMA_1.36.0.tar.gz
Windows Binary	CMA_1.36.0.zip
Mac OS X 10.11 (El Capitan)	CMA_1.36.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CMA
Package Short Url	http://bioconductor.org/packages/CMA/
Package Downloads Report	Download Stats