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
| Maintainer | Marcus Dittrich <marcus.dittrich@biozentrum.uni-wuerzburg.de> |
| Author | Marcus Dittrich and Daniela Beisser |
| License | GPL (>= 2) |
| URL | http://bionet.bioapps.biozentrum.uni-wuerzburg.de/ |
| Downloads rank | 894 |
| Source branch | devel |
| biocViews | DataImport, DifferentialExpression, GeneExpression, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | BioNet_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