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.

nem

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see nem.

Nested Effects Models to reconstruct phenotypic hierarchies

Bioconductor version: 2.10

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.) high-dimensional 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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("nem")

Documentation

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

browseVignettes("nem")
PDF markowetz-thesis-2006.pdf
PDF Nested Effects Models - An example in Drosophila immune response
PDF Reference Manual

Details

biocViews Bioinformatics, GraphsAndNetworks, Microarray, Pathways, Software
Version 2.32.1
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), Rgraphviz(>= 1.22), plotrix, limma, cluster (>= 1.11), statmod, Hmisc
Imports boot, e1071, graph, graphics, grDevices, methods, RBGL(>= 1.8.1), RColorBrewer, Rgraphviz, stats, utils
LinkingTo
Suggests Biobase(>= 1.10)
SystemRequirements
Enhances doMC
URL http://www.bioconductor.org
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Package Source nem_2.32.1.tar.gz
Windows Binary nem_2.32.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/nem/tree/release-2.10
Package Short Url http://bioconductor.org/packages/nem/
Package Downloads Report Download Stats

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