BioNet
This is thereleased version of BioNet; for the devel version, seeBioNet.
Routines for the functional analysis of biological networks
Bioconductor version: Release (3.22)
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.
Author: Marcus Dittrich and Daniela Beisser
Maintainer: Marcus Dittrich <marcus.dittrich at biozentrum.uni-wuerzburg.de>
citation("BioNet")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("BioNet")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioNet")| BioNet Tutorial | R Script | |
| Reference Manual |
Details
| biocViews | DataImport,DifferentialExpression,GeneExpression,GraphAndNetwork,Microarray,Network,NetworkEnrichment,Software |
| Version | 1.70.0 |
| In Bioconductor since | BioC 2.7 (R-2.12) (15 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.10.0),graph,RBGL |
| Imports | igraph (>= 1.0.1),AnnotationDbi,Biobase |
| System Requirements | |
| URL | http://bionet.bioapps.biozentrum.uni-wuerzburg.de/ |
See More
| Suggests | rgl,impute,DLBCL,genefilter,xtable,ALL,limma,hgu95av2.db,XML |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | gatom,SMITE |
| Suggests Me | SANTA,mwcsr |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | BioNet_1.70.0.tar.gz |
| Windows Binary (x86_64) | BioNet_1.70.0.zip |
| macOS Binary (x86_64) | BioNet_1.70.0.tgz |
| macOS Binary (arm64) | BioNet_1.70.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/BioNet |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BioNet |
| Bioc Package Browser | https://code.bioconductor.org/browse/BioNet/ |
| Package Short Url | https://bioconductor.org/packages/BioNet/ |
| Package Downloads Report | Download Stats |