Bioconductor version: Release (3.13)
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. It is tailored towards large scale double knock-out screens.
Author: Madeline Diekmann & Martin Pirkl
Maintainer: Martin Pirkl <martinpirkl at yahoo.de>
Citation (from within R,
enter citation("epiNEM")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("epiNEM")
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:
browseVignettes("epiNEM")
HTML | R Script | epiNEM |
Reference Manual | ||
Text | NEWS |
biocViews | Network, NetworkInference, Pathways, Software, SystemsBiology |
Version | 1.16.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (4.5 years) |
License | GPL-3 |
Depends | R (>= 4.1) |
Imports | BoolNet, e1071, gtools, stats, igraph, utils, lattice, latticeExtra, RColorBrewer, pcalg, minet, grDevices, graph, mnem, latex2exp |
LinkingTo | |
Suggests | knitr, RUnit, BiocGenerics, STRINGdb, devtools, rmarkdown, GOSemSim, AnnotationHub, org.Sc.sgd.db |
SystemRequirements | |
Enhances | |
URL | https://github.com/cbg-ethz/epiNEM/ |
BugReports | https://github.com/cbg-ethz/epiNEM/issues |
Depends On Me | |
Imports Me | bnem, dce, nempi |
Suggests Me | mnem |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | epiNEM_1.16.0.tar.gz |
Windows Binary | epiNEM_1.16.0.zip |
macOS 10.13 (High Sierra) | epiNEM_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/epiNEM |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/epiNEM |
Package Short Url | https://bioconductor.org/packages/epiNEM/ |
Package Downloads Report | Download Stats |
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