Rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

Bioconductor version: 2.8

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 <Rmagpie at gmail.com>, with contributions from C. Ambroise J. Zhu

Maintainer: Camille Maumet <Rmagpie at gmail.com>

To install this package, start R and enter:

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

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

    citation("Rmagpie")

Documentation

PDF R Script Rmagpie Examples
PDF   Reference Manual

Details

biocViews Microarray, Classification
Depends R (>= 2.6.1), Biobase(>= 2.5.5)
Imports Biobase(>= 2.5.5), 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
Suggests Me
Version 1.8.0
Since Bioconductor 2.4 (R-2.9)

Package Downloads

Package Source Rmagpie_1.8.0.tar.gz
Windows Binary Rmagpie_1.8.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary Rmagpie_1.8.0.tgz
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