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netresponse

Functional Network Analysis

Bioconductor version: 3.24 · Package version: 1.73.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Algorithms for functional network analysis. Includes an implementation of a variational Dirichlet process Gaussian mixture model for nonparametric mixture modeling.

DOI: 10.18129/B9.bioc.netresponse

Installation

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

BiocManager::install("netresponse")

Details

MaintainerLeo Lahti <leo.lahti@iki.fi>
AuthorLeo Lahti, Olli-Pekka Huovilainen, Antonio Gusmao and Juuso Parkkinen
LicenseGPL (>=2)
URLhttps://github.com/antagomir/netresponse
Bug Reportshttps://github.com/antagomir/netresponse/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsCellBiology, Clustering, DifferentialExpression, GeneExpression, Genetics, GraphAndNetwork, Microarray, Network, NetworkInference, Software, Transcription
Package Short Url https://bioconductor.org/packages/netresponse/

Citation

From within R, enter citation("netresponse"):

Leo Lahti, Olli-Pekka Huovilainen, Antonio Gusmao and Juuso Parkkinen. netresponse: Functional Network Analysis. doi:10.18129/B9.bioc.netresponse, R package version 1.73.0, https://bioconductor.org/packages/netresponse.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagenetresponse_1.73.0.tar.gz
Windows binary (x86_64)netresponse_1.73.0.zip
macOS binary (arm64)netresponse_1.73.0.tgz
macOS binary (x86_64)netresponse_1.73.0.tgz
Dependencies

Depends: R (>= 2.15.1), BiocStyle, Rgraphviz, rmarkdown, methods, minet, mclust, reshape2

Imports: ggplot2, graph, igraph, parallel, plyr, qvalue, RColorBrewer

Suggests: knitr