Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("netresponse")
To cite this package in a publication, start R and enter:
citation("netresponse")
R Script | netresponse | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | CellBiology, Clustering, DifferentialExpression, GeneExpression, Genetics, GraphsAndNetworks, Microarray, NetworkAnalysis, Software, Transcription |
Version | 1.12.0 |
In Bioconductor since | BioC 2.7 (R-2.12) |
License | GPL (>=2) |
Depends | R (>= 2.15.1), dmt, igraph0, infotheo, ggplot2, graph, mclust, methods, minet, parallel, qvalue, RColorBrewer, reshape, Rgraphviz |
Imports | |
Suggests | |
System Requirements | |
URL | http://netpro.r-forge.r-project.org/ |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | netresponse_1.12.0.tar.gz |
Windows Binary | netresponse_1.12.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | netresponse_1.12.0.tgz |
Package Downloads Report | Download Stats |
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