CMA

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see CMA.

Synthesis of microarray-based classification


Bioconductor version: 3.9

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 "3.6") 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 1.42.0
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
URL
See More
Suggests MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package CMA_1.42.0.tar.gz
Windows Binary CMA_1.42.0.zip
Mac OS X 10.11 (El Capitan) CMA_1.42.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CMA
Source Repository (Developer Access) git clone [email protected]:packages/CMA
Bioc Package Browser https://code.bioconductor.org/browse/CMA/
Package Short Url https://bioconductor.org/packages/CMA/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive