geNetClassifier-package: classify diseases and build associated gene networks using...

Description Details Author(s) See Also


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.


Package: geNetClassifier
Type: Package
Version: 1.0
Date: 2013-02-28
License: GPL (>=2)
LazyLoad: yes
Depends: R (>= 2.10.1), Biobase (>= 2.5.5), EBarrays, minet, methods
Imports: e1071, ipred, graphics
Suggests: leukemiasEset
Enhances: RColorBrewer, igraph


Sara Aibar, Celia Fontanillo and Javier De Las Rivas
Bioinformatics and Functional Genomics Group. Centro de Investigacion del Cancer (CIC-IBMCC, CSIC/USAL). Salamanca. Spain.
Maintainer: Sara Aibar <>

See Also

Main functions included in this package:

Query stats funtions:

Plots and genes info:


Related data sets:

geNetClassifier documentation built on Nov. 8, 2020, 4:53 p.m.