\name{BioNet-package} \Rdversion{1.13.2} \alias{BioNet-package} \alias{BioNet} \docType{package} \title{ Routines for the functional analysis of biological networks } \description{ This package provides functions for the integrated analysis of biological networks and the detection of functional modules. Different datasets can be integrated into the network by assigning p-values derived from statistical tests to the nodes of the network. E.g. p-values obtained from the differential expression of genes from an Affymetrix array are assigned to the nodes of an protein-protein interaction 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. } \details{ \tabular{ll}{ Package: \tab BioNet\cr Type: \tab Package\cr Version: \tab 1.13.2\cr Date: \tab 2012-02-22\cr License: \tab GPL (>=2)\cr LazyLoad: \tab yes\cr } } \author{ Marcus Dittrich, Daniela Beisser Maintainer: Marcus Dittrich } \references{M. T. Dittrich, G. W. Klau, A. Rosenwald, T. Dandekar and T. Mueller (2008) Identifying functional modules in protein-protein interaction networks: an integrated exact approach. \emph{(ISMB2008) Bioinformatics} 24: 13. i223-i231 Jul. D. Beisser, G. W. Klau, T. Dandekar, T. Mueller and M. Dittrich (2010) BioNet: an R-package for the Functional Analysis of Biological Networks. \emph{Bioinformatics} 26:08. 1129-1130 Apr. }