geNetClassifier

classify diseases and build associated gene networks using gene expression profiles

Bioconductor version: Release (2.12)

Comprehensive package to automatically train 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>

To install this package, start R and enter:

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

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

    citation("geNetClassifier")

Documentation

PDF	R Script	geNetClassifier-vignette
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bioinformatics, Cancer, Classification, GeneExpression, Leukemia, Microarray, Software
Version	1.0.2
In Bioconductor since	BioC 2.13 (R-2.18)
License	GPL (>= 2)
Depends	R (>= 2.10.1), Biobase(>= 2.5.5), EBarrays, minet, methods
Imports	e1071, ipred, graphics, BiocGenerics
Suggests	leukemiasEset
System Requirements
URL	http://bioinfow.dep.usal.es/
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source	geNetClassifier_1.0.2.tar.gz
Windows Binary	geNetClassifier_1.0.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	geNetClassifier_1.0.2.tgz
Package Downloads Report	Download Stats

Workflows »

Common Bioconductor workflows include:

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Hosting provided by Fred Hutchinson Cancer Research Center