geNetClassifier: Classify diseases and build associated gene networks using gene expression profiles
Version 1.16.0

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.

Package details

AuthorSara Aibar, Celia Fontanillo and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain.
Bioconductor views Classification DifferentialExpression Microarray
MaintainerSara Aibar <[email protected]>
LicenseGPL (>= 2)
Version1.16.0
URL http://www.cicancer.org
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("geNetClassifier")

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geNetClassifier documentation built on May 31, 2017, 1:49 p.m.