This is the released version of netresponse; for the devel version, see netresponse.
Functional Network AnalysisBioconductor version: Release (3.21)
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, entercitation("netresponse")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("netresponse")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("netresponse")
Details biocViews CellBiology, Clustering, DifferentialExpression, GeneExpression, Genetics, GraphAndNetwork, Microarray, Network, NetworkInference, Software, Transcription Version 1.68.0 In Bioconductor since BioC 2.7 (R-2.12) (14.5 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 See More Suggests knitr Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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