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BioNet

Routines for the functional analysis of biological networks

Bioconductor version: 3.24 · Package version: 1.73.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BioNet")

Details

MaintainerMarcus Dittrich <marcus.dittrich@biozentrum.uni-wuerzburg.de>
AuthorMarcus Dittrich and Daniela Beisser
LicenseGPL (>= 2)
URLhttp://bionet.bioapps.biozentrum.uni-wuerzburg.de/
Downloads rank894
Source branchdevel
biocViewsDataImport, DifferentialExpression, GeneExpression, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageBioNet_1.73.0.tar.gz
Windows binary (x86_64)BioNet_1.73.0.zip
macOS binary (arm64)BioNet_1.73.0.tgz
macOS binary (x86_64)BioNet_1.73.0.tgz
Dependencies

Depends: R (>= 2.10.0), graph, RBGL

Imports: igraph (>= 1.0.1), AnnotationDbi, Biobase

Suggests: rgl, impute, DLBCL, genefilter, xtable, ALL, limma, hgu95av2.db, XML

Reverse dependencies

Imports Me (2): gatom, SMITE

Suggests Me (2): mwcsr, SANTA