Package: geNetClassifier
Type: Package
Title: classify diseases and build associated gene networks using gene
        expression profiles
Version: 1.2.0
Date: 2013-05-09
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@usal.es>
Depends: R (>= 2.10.1), Biobase (>= 2.5.5), EBarrays, minet, methods
Imports: e1071, ipred, graphics, BiocGenerics
Suggests: leukemiasEset
Enhances: RColorBrewer, igraph
Description: 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.
License: GPL (>= 2)
ZipData: no
URL: http://bioinfow.dep.usal.es/
LazyLoad: yes
biocViews: Bioinformatics, Classification, Microarray, GeneExpression,
        Leukemia, Cancer
Collate: class.GenesRanking.R class.GenesNetwork.R
        class.GeneralizationError.R class.GeNetClassifierReturn.R
        functions.private.R functions.public.R function.main.R
Packaged: 2013-10-15 08:17:23 UTC; biocbuild
Built: R 3.0.2; ; 2013-10-15 15:20:13 UTC; windows
