To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("nem")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see nem.
Bioconductor version: 3.4
The package 'nem' allows to reconstruct features of pathways from the nested structure of perturbation effects. It takes as input (1.) a set of pathway components, which were perturbed, and (2.) phenotypic readout of these perturbations (e.g. gene expression, protein expression). The output is a directed graph representing the phenotypic hierarchy.
Author: Holger Froehlich, Florian Markowetz, Achim Tresch, Theresa Niederberger, Christian Bender, Matthias Maneck, Claudio Lottaz, Tim Beissbarth
Maintainer: Holger Froehlich <frohlich at bit.uni-bonn.de>
Citation (from within R,
enter citation("nem")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("nem")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("nem")
markowetz-thesis-2006.pdf | ||
R Script | Nested Effects Models - An example in Drosophila immune response | |
Reference Manual |
biocViews | Bioinformatics, GraphsAndNetworks, Microarray, NetworkInference, Pathways, Software, SystemsBiology |
Version | 2.48.0 |
In Bioconductor since | BioC 1.9 (R-2.4) (10.5 years) |
License | GPL (>= 2) |
Depends | R (>= 3.0) |
Imports | boot, e1071, graph, graphics, grDevices, methods, RBGL(>= 1.8.1), RColorBrewer, stats, utils, Rgraphviz, statmod, plotrix, limma |
LinkingTo | |
Suggests | Biobase(>= 1.10) |
SystemRequirements | |
Enhances | doMC, snow, parallel |
URL | http://www.bioconductor.org |
Depends On Me | lpNet |
Imports Me | birte |
Suggests Me | rBiopaxParser |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | nem_2.48.0.tar.gz |
Windows Binary | nem_2.48.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | nem_2.48.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/nem/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/nem/ |
Package Downloads Report | Download Stats |
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