geNetClassifier-package {geNetClassifier} | R Documentation

## classify diseases and build associated gene networks using gene expression profiles

### 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.

### Details

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

### Author(s)

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 <saibar@usal.es>

### See Also

Main functions included in this package:

- `geNetClassifier`

- `queryGeNetClassifier`

Query stats funtions:

- `querySummary`

- `externalValidation.probMatrix`

- `externalValidation.stats`

- `plotAssignments`

Plots and genes info:

- `calculateGenesRanking`

- `plotNetwork`

- `plotDiscriminantPower`

- `plotExpressionProfiles`

Classes:

- `GenesRanking`

- `GenesNetwork`

- `GeNetClassifierReturn`

- `GeneralizationError`

Related data sets:

- `leukemiasEset`

[Package geNetClassifier version 1.26.0 Index]