Bioconductor - nethet
Bioconductor 3.22
Software Packages
nethet
nethet
This is the
released
version of nethet; for the devel version, see
nethet
A bioconductor package for high-dimensional exploration of biological network heterogeneity
DOI:
10.18129/B9.bioc.nethet
Bioconductor version:
Release (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
Citation (from within R, enter
citation("nethet")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("nethet")
For older versions of R, please refer to the appropriate
Bioconductor release
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("nethet")
nethet
PDF
R Script
Reference Manual
PDF
NEWS
Text
Need some help? Ask on the Bioconductor Support site!
Details
biocViews
Clustering
GraphAndNetwork
Software
Version
1.42.0
In Bioconductor since
BioC 3.1 (R-3.2) (11 years)
License
GPL-2
Depends
Imports
glasso
mvtnorm
GeneNet
huge
CompQuadForm
ggm
mclust
, parallel,
GSA
limma
multtest
ICSNP
glmnet
network
ggplot2
, grDevices, graphics, stats, utils
System Requirements
URL
See More
Suggests
knitr
xtable
BiocStyle
testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report
Build Report
Package Archives
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Installation
instructions to use this package in your R session.
Source Package
nethet_1.42.0.tar.gz
Windows Binary (x86_64)
nethet_1.42.0.zip
macOS Binary (x86_64)
nethet_1.42.0.tgz
macOS Binary (arm64)
nethet_1.42.0.tgz
Source Repository
git clone https://git.bioconductor.org/packages/nethet
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/nethet
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