Bioc2026 Registration Open!

Rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

Bioconductor version: 3.24 · Package version: 1.69.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Rmagpie")

Details

MaintainerCamille Maumet <Rmagpie@gmail.com>
AuthorCamille Maumet <Rmagpie@gmail.com>, with contributions from C. Ambroise J. Zhu
LicenseGPL (>= 3)
URLhttp://www.bioconductor.org/
Downloads rank512
Source branchdevel
biocViewsClassification, Microarray, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageRmagpie_1.69.0.tar.gz
Windows binary (x86_64)Rmagpie_1.69.0.zip
macOS binary (arm64)Rmagpie_1.69.0.tgz
macOS binary (x86_64)Rmagpie_1.69.0.tgz
Dependencies

Depends: R (>= 2.6.1), Biobase (>= 2.5.5)

Imports: Biobase (>= 2.5.5), e1071, graphics, grDevices, kernlab, methods, pamr, stats, utils

Suggests: xtable