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>

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PDF R Script geNetClassifier-vignette
PDF   Reference Manual
Text   NEWS


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
Depends On Me
Imports Me
Suggests Me

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Package Source geNetClassifier_1.0.2.tar.gz
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Mac OS X 10.6 (Snow Leopard) geNetClassifier_1.0.2.tgz
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