To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("epiNEM")

In most cases, you don't need to download the package archive at all.

epiNEM

 

epiNEM

Bioconductor version: Release (3.5)

epiNEM is an extension of the original Nested Effects Models (NEM). EpiNEM is able to take into account double knockouts and infer more complex network signalling pathways.

Author: Madeline Diekmann & Martin Pirkl

Maintainer: Martin Pirkl <martin.pirkl at bsse.ethz.ch>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("epiNEM")

Documentation

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

browseVignettes("epiNEM")

 

PDF R Script epiNEM
PDF   Reference Manual
Text   NEWS

Details

biocViews Network, NetworkInference, Pathways, Software, SystemsBiology
Version 1.0.1
In Bioconductor since BioC 3.5 (R-3.4) (< 6 months)
License GPL-3
Depends R (>= 3.4)
Imports BoolNet, e1071, gtools, stats, igraph, nem, utils, lattice, latticeExtra, RColorBrewer, pcalg, minet, grDevices, graph
LinkingTo
Suggests knitr, RUnit, BiocGenerics, STRINGdb, devtools, rmarkdown, GOSemSim, AnnotationHub, org.Sc.sgd.db
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source epiNEM_1.0.1.tar.gz
Windows Binary epiNEM_1.0.1.zip
Mac OS X 10.11 (El Capitan) epiNEM_1.0.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/epiNEM
Package Short Url http://bioconductor.org/packages/epiNEM/
Package Downloads Report Download Stats

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