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This is the development version of netresponse; for the stable release version, see netresponse.

Functional Network Analysis

Bioconductor version: Development (3.19)

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

Author: Leo Lahti, Olli-Pekka Huovilainen, Antonio Gusmao and Juuso Parkkinen

Maintainer: Leo Lahti <leo.lahti at iki.fi>

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


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biocViews CellBiology, Clustering, DifferentialExpression, GeneExpression, Genetics, GraphAndNetwork, Microarray, Network, NetworkInference, Software, Transcription
Version 1.63.0
In Bioconductor since BioC 2.7 (R-2.12) (13.5 years)
License GPL (>=2)
Depends R (>= 2.15.1), BiocStyle, Rgraphviz, rmarkdown, methods, minet, mclust, reshape2
Imports ggplot2, graph, igraph, parallel, plyr, qvalue, RColorBrewer
System Requirements
URL https://github.com/antagomir/netresponse
Bug Reports https://github.com/antagomir/netresponse/issues
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Source Package netresponse_1.63.0.tar.gz
Windows Binary netresponse_1.63.0.zip
macOS Binary (x86_64) netresponse_1.63.0.tgz
macOS Binary (arm64) netresponse_1.63.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/netresponse
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/netresponse
Bioc Package Browser https://code.bioconductor.org/browse/netresponse/
Package Short Url https://bioconductor.org/packages/netresponse/
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