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
| Maintainer | Camille Maumet <Rmagpie@gmail.com> |
| Author | Camille Maumet <Rmagpie@gmail.com>, with contributions from C. Ambroise J. Zhu |
| License | GPL (>= 3) |
| URL | http://www.bioconductor.org/ |
| Downloads rank | 512 |
| Source branch | devel |
| biocViews | Classification, Microarray, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | Rmagpie_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