BioNet

DOI:10.18129/B9.bioc.BioNet

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, seeBioNet.

Routines for the functional analysis of biological networks

Bioconductor version: 3.11

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

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("BioNet")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("BioNet")

PDF	R Script	BioNet Tutorial
PDF		Reference Manual

Details

biocViews	DataImport,DifferentialExpression,GeneExpression,GraphAndNetwork,Microarray,Network,NetworkEnrichment,Software
Version	1.47.0
In Bioconductor since	BioC 2.7 (R-2.12) (10 years)
License	GPL (>= 2)
Depends	R (>= 2.10.0),graph,RBGL
Imports	igraph(>= 1.0.1),AnnotationDbi,Biobase
LinkingTo
Suggests	rgl,impute,DLBCL,genefilter,xtable,ALL,limma,hgu95av2.db,XML
SystemRequirements
Enhances
URL	http://bionet.bioapps.biozentrum.uni-wuerzburg.de/
Depends On Me
Imports Me	SMITE
Suggests Me	SANTA
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	BioNet_1.47.0.tar.gz
Windows Binary	BioNet_1.47.0.zip
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/BioNet
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BioNet
Package Short Url	//www.andersvercelli.com/packages/BioNet/
Package Downloads Report	Download Stats