Bioconductor version: Release (3.6)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("epiNEM")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("epiNEM")
R Script | epiNEM | |
Reference Manual | ||
Text | NEWS |
biocViews | Network, NetworkInference, Pathways, Software, SystemsBiology |
Version | 1.2.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (1 year) |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | epiNEM_1.2.0.tar.gz |
Windows Binary | epiNEM_1.2.0.zip |
Mac OS X 10.11 (El Capitan) | epiNEM_1.2.0.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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