recipe bioconductor-nethet

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).

Homepage

https://bioconductor.org/packages/3.9/bioc/html/nethet.html

License

GPL-2

Recipe

/bioconductor-nethet/meta.yaml

package bioconductor-nethet

(downloads) docker_bioconductor-nethet

Versions

1.14.0-0

Depends bioconductor-limma

>=3.38.0,<3.39.0

Depends bioconductor-multtest

>=2.38.0,<2.39.0

Depends libgcc-ng

>=7.3.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-compquadform

Depends r-genenet

Depends r-ggm

Depends r-ggplot2

Depends r-glasso

Depends r-glmnet

Depends r-gsa

Depends r-huge

Depends r-icsnp

Depends r-mclust

Depends r-mvtnorm

Depends r-network

Depends r-parcor

Requirements

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-nethet

and update with:

conda update bioconductor-nethet

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-nethet:<tag>

(see bioconductor-nethet/tags for valid values for <tag>)