BioNet

Routines for the functional analysis of biological networks

Bioconductor version: Development (3.0)

This package provides functions for the integrated analysis of protein-protein interaction networks and the detection of functional modules. Different datasets can be integrated into the network by assigning p-values of statistical tests to the nodes of the network. E.g. p-values obtained from the differential expression of the genes from an Affymetrix array are assigned to the nodes of the network. By fitting a beta-uniform mixture model and calculating scores from the p-values, overall scores of network regions can be calculated and an integer linear programming algorithm identifies the maximum scoring subnetwork.

Author: Marcus Dittrich and Daniela Beisser

Maintainer: Marcus Dittrich <marcus.dittrich at biozentrum.uni-wuerzburg.de>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("BioNet")

To cite this package in a publication, start R and enter:

    citation("BioNet")

Documentation

PDF R Script BioNet Tutorial
PDF   Reference Manual

Details

biocViews DataImport, DifferentialExpression, GeneExpression, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Software
Version 1.25.0
In Bioconductor since BioC 2.7 (R-2.12)
License GPL (>= 2)
Depends R (>= 2.10.0), Biobase, graph, RBGL
Imports igraph (>= 0.7), AnnotationDbi
Suggests rgl, impute, DLBCL, genefilter, xtable, ALL, limma, hgu95av2.db, XML
System Requirements
URL http://bionet.bioapps.biozentrum.uni-wuerzburg.de/
Depends On Me
Imports Me HTSanalyzeR
Suggests Me

Package Downloads

Package Source BioNet_1.25.0.tar.gz
Windows Binary BioNet_1.25.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) BioNet_1.25.0.tgz
Mac OS X 10.9 (Mavericks)
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