Package: geNetClassifier
Type: Package
Title: Classify diseases and build associated gene networks using gene
        expression profiles
Version: 1.36.0
Date: 2020-04-02
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, graphics, grDevices
Suggests: leukemiasEset, RUnit, BiocGenerics
Enhances: RColorBrewer, igraph, infotheo
Description: 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.
License: GPL (>= 2)
ZipData: no
URL: http://www.cicancer.org
LazyLoad: yes
Collate: class.GenesRanking.R class.GenesNetwork.R
        class.GeneralizationError.R class.GeNetClassifierReturn.R
        functions.private.R functions.public.R function.main.R
biocViews: Classification, DifferentialExpression, Microarray
git_url: https://git.bioconductor.org/packages/geNetClassifier
git_branch: RELEASE_3_15
git_last_commit: b5b4a80
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-26 22:56:26 UTC; biocbuild
Built: R 4.2.0; ; 2022-04-27 09:32:08 UTC; windows
