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Biological Network Analysis

Bioconductor version: Release (3.18)

A package to perform differential network analysis, differential node analysis (differential coexpression analysis), network and metabolic pathways view.

Author: Vinícius Jardim, Suzana Santos, André Fujita, and Marcos Buckeridge

Maintainer: Vinicius Jardim <viniciusjc at gmail.com>

Citation (from within R, enter citation("BioNetStat")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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


To view documentation for the version of this package installed in your system, start R and enter:

1. Interface tutorial HTML
2. R console tutorial HTML
3. Tutorial para o console do R HTML
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Metabolomics, Microarray, Network, NetworkInference, Pathways, Proteomics, RNASeq, Sequencing, Software, SystemsBiology
Version 1.22.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL (>= 3)
Depends R (>= 4.0), shiny, igraph, shinyBS, pathview, DT
Imports BiocParallel, RJSONIO, whisker, yaml, pheatmap, ggplot2, plyr, utils, stats, RColorBrewer, Hmisc, psych, knitr, rmarkdown, markdown
System Requirements
URL http://github.com/jardimViniciusC/BioNetStat
Bug Reports http://github.com/jardimViniciusC/BioNetStat/issues
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BioNetStat_1.22.0.tar.gz
Windows Binary BioNetStat_1.22.0.zip
macOS Binary (x86_64) BioNetStat_1.22.0.tgz
macOS Binary (arm64) BioNetStat_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BioNetStat
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BioNetStat
Bioc Package Browser https://code.bioconductor.org/browse/BioNetStat/
Package Short Url https://bioconductor.org/packages/BioNetStat/
Package Downloads Report Download Stats