netresponse

DOI: 10.18129/B9.bioc.netresponse    

Functional Network Analysis

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("netresponse")

Documentation

PDF		Reference Manual
Text		NEWS

Details

biocViews	CellBiology, Clustering, DifferentialExpression, GeneExpression, Genetics, GraphAndNetwork, Microarray, Network, Software, Transcription
Version	1.38.0
In Bioconductor since	BioC 2.7 (R-2.12) (7.5 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
Build Report

Package Archives

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

Source Package	netresponse_1.38.0.tar.gz
Windows Binary	netresponse_1.38.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	netresponse_1.38.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/netresponse
Package Short Url	http://bioconductor.org/packages/netresponse/
Package Downloads Report	Download Stats