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 2.13 of Bioconductor; for the stable, up-to-date release version, see nem.
Bioconductor version: 2.13
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, Pathways, Software | 
| Version | 2.36.0 | 
| In Bioconductor since | BioC 1.9 (R-2.4) (9.5 years) | 
| License | GPL (>= 2) | 
| Depends | R (>= 2.0), e1071 (>= 1.5), graph(>= 1.24), plotrix, limma, cluster (>= 1.11), statmod, Hmisc, Rgraphviz | 
| Imports | boot, e1071, graph, graphics, grDevices, methods, RBGL(>= 1.8.1), RColorBrewer, stats, utils, Rgraphviz | 
| LinkingTo | |
| Suggests | Biobase(>= 1.10) | 
| SystemRequirements | |
| Enhances | doMC, Rglpk | 
| URL | http://www.bioconductor.org | 
| Depends On Me | lpNet | 
| Imports Me | |
| Suggests Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Package Source | nem_2.36.0.tar.gz | 
| Windows Binary | nem_2.36.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | nem_2.36.0.tgz | 
| Subversion source | (username/password: readonly) | 
| Git source | https://github.com/Bioconductor-mirror/nem/tree/release-2.13 | 
| Package Short Url | http://bioconductor.org/packages/nem/ | 
| Package Downloads Report | Download Stats | 
 
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