Rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

Microarray Classification is designed for both biologists and statisticians. It offers the ability to train a classifier on a labelled microarray dataset and to then use that classifier to predict the class of new observations. A range of modern classifiers are available, including support vector machines (SVMs), nearest shrunken centroids (NSCs)... Advanced methods are provided to estimate the predictive error rate and to report the subset of genes which appear essential in discriminating between classes.

Author	Camille Maumet , with contributions from C. Ambroise J. Zhu
Maintainer	Camille Maumet

To install this package, start R and enter:

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

Documentation

Rmagpie Examples	PDF	R Script
Reference Manual

Details

biocViews	Microarray , Classification
Depends	R , Biobase
Imports	Biobase , e1071 , graphics , grDevices , kernlab , methods , pamr , stats , utils
Suggests	xtable
System Requirements
License	GPL (>= 3)
URL	http://www.bioconductor.org/
Depends On Me
Imports Me
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Development History	Bioconductor Changelog

Package Downloads

Package source	Rmagpie_1.0.0.tar.gz
Windows binary	Rmagpie_1.0.0.zip
MacOS X 10.4 (Tiger) binary	Rmagpie_1.0.0.tgz
MacOS X 10.5 (Leopard) binary	Rmagpie_1.0.0.tgz
Package Downloads Report	Downloads Stats