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BioNetStat

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")):

Installation

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


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

BiocManager::install("BioNetStat")

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

Documentation

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

browseVignettes("BioNetStat")
1. Interface tutorial HTML
2. R console tutorial HTML
3. Tutorial para o console do R HTML
Reference Manual PDF
NEWS Text

Details

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