To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

geNetClassifier

classify diseases and build associated gene networks using gene expression profiles

Bioconductor version: Release (3.0)

Comprehensive package to automatically train and validate a multi-class SVM classifier based on gene expression data. Provides transparent selection of gene markers, their coexpression networks, and an interface to query the classifier.

Author: Sara Aibar, Celia Fontanillo and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain.

Maintainer: Sara Aibar <saibar at usal.es>

Citation (from within R, enter citation("geNetClassifier")):

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("geNetClassifier")

 

PDF geNetClassifier-vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, DifferentialExpression, Microarray, Software
Version 1.6.0
In Bioconductor since BioC 2.12 (R-3.0)
License GPL (>= 2)
Depends R (>= 2.10.1), Biobase(>= 2.5.5), EBarrays, minet, methods
Imports e1071, graphics
Suggests leukemiasEset, RUnit, BiocGenerics
System Requirements
URL http://www.cicancer.org
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source geNetClassifier_1.6.0.tar.gz
Windows Binary geNetClassifier_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) geNetClassifier_1.6.0.tgz
Mac OS X 10.9 (Mavericks) geNetClassifier_1.6.0.tgz
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