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This is the development version of nethet; for the stable release version, see nethet.

A bioconductor package for high-dimensional exploration of biological network heterogeneity

Bioconductor version: Development (3.20)

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>, Frank Dondelinger < at>

Citation (from within R, enter citation("nethet")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


To view documentation for the version of this package installed in your system, start R and enter:

nethet PDF R Script
Reference Manual PDF


biocViews Clustering, GraphAndNetwork, Software
Version 1.37.0
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License GPL-2
Imports glasso, mvtnorm, GeneNet, huge, CompQuadForm, ggm, mclust, parallel, GSA, limma, multtest, ICSNP, glmnet, network, ggplot2, grDevices, graphics, stats, utils
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Suggests knitr, xtable, BiocStyle, testthat
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Follow Installation instructions to use this package in your R session.

Source Package nethet_1.37.0.tar.gz
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macOS Binary (x86_64) nethet_1.37.0.tgz
macOS Binary (arm64) nethet_1.37.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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