netresponse

DOI: 10.18129/B9.bioc.netresponse    

Functional Network Analysis

Bioconductor version: Release (3.8)

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")):

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("netresponse", version = "3.8")

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

Documentation

PDF   Reference Manual
Text   NEWS

Details

biocViews CellBiology, Clustering, DifferentialExpression, GeneExpression, Genetics, GraphAndNetwork, Microarray, Network, Software, Transcription
Version 1.42.0
In Bioconductor since BioC 2.7 (R-2.12) (8 years)
License GPL (>=2)
Depends R (>= 2.15.1), Rgraphviz, methods, minet, mclust, reshape2
Imports dmt, ggplot2, graph, igraph, parallel, plyr, qvalue, RColorBrewer
LinkingTo
Suggests
SystemRequirements
Enhances
URL https://github.com/antagomir/netresponse
BugReports https://github.com/antagomir/netresponse/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package netresponse_1.42.0.tar.gz
Windows Binary netresponse_1.42.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) netresponse_1.42.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/netresponse
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/netresponse
Package Short Url http://bioconductor.org/packages/netresponse/
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