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BioNet : Routines for the functional analysis of biological networks

Package: BioNet
Type: Package
Title: Routines for the functional analysis of biological networks
Version: 1.32.0
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
NeedsCompilation: no
Packaged: 2016-05-04 03:41:51 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: DataImport, DifferentialExpression, GeneExpression, GraphAndNetwork, Microarray, Network, NetworkEnrichment
10 images, 44 functions, 0 datasets
● Reverse Depends: 0