geNetClassifier

classify diseases and build associated gene networks using gene expression profiles

Bioconductor version: Development (3.0)

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 geNetClassifier-vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews Cancer, Classification, GeneExpression, Leukemia, Microarray, Software
Version 1.5.0
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, ipred, graphics
Suggests leukemiasEset, RUnit, BiocGenerics
System Requirements
URL http://bioinfow.dep.usal.es/
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source geNetClassifier_1.5.0.tar.gz
Windows Binary geNetClassifier_1.5.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) geNetClassifier_1.5.0.tgz
Mac OS X 10.9 (Mavericks)
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