Package: BioNet
Type: Package
Title: Routines for the functional analysis of biological networks
Version: 1.46.0
Date: 2015-09-11
Author: Marcus Dittrich and Daniela Beisser
Maintainer: Marcus Dittrich
 <marcus.dittrich@biozentrum.uni-wuerzburg.de>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 2.10.0), graph, RBGL
Suggests: rgl, impute, DLBCL, genefilter, xtable, ALL, limma,
        hgu95av2.db, XML
Imports: igraph (>= 1.0.1), AnnotationDbi, Biobase
LazyLoad: yes
URL: http://bionet.bioapps.biozentrum.uni-wuerzburg.de/
biocViews: Microarray, DataImport, GraphAndNetwork, Network,
        NetworkEnrichment, GeneExpression, DifferentialExpression
git_url: https://git.bioconductor.org/packages/BioNet
git_branch: RELEASE_3_10
git_last_commit: b438d2c
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 01:49:02 UTC; biocbuild
Built: R 3.6.1; ; 2019-10-30 12:46:16 UTC; windows
