This is the development version of nethet; for the stable release version, see nethet.
A bioconductor package for high-dimensional exploration of biological network heterogeneityBioconductor version: Development (3.22)
Package nethet is an implementation of statistical solid methodology enabling the analysis of network heterogeneity from high-dimensional data. It combines several implementations of recent statistical innovations useful for estimation and comparison of networks in a heterogeneous, high-dimensional setting. In particular, we provide code for formal two-sample testing in Gaussian graphical models (differential network and GGM-GSA; Stadler and Mukherjee, 2013, 2014) and make a novel network-based clustering algorithm available (mixed graphical lasso, Stadler and Mukherjee, 2013).
Author: Nicolas Staedler, Frank Dondelinger
Maintainer: Nicolas Staedler <staedler.n at gmail.com>, Frank Dondelinger <fdondelinger.work at gmail.com>
Citation (from within R, entercitation("nethet")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("nethet")
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("nethet")Follow Installation instructions to use this package in your R session.
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