Bioconductor version: Release (2.7)
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 or morphological profiles). The output is a directed graph representing the phenotypic hierarchy.
Author: Holger Froehlich, Florian Markowetz, Achim Tresch, Christian Bender, Matthias Maneck, Claudio Lottaz, Tim Beissbarth
Maintainer: Christian Bender
To install this package, start R and enter:
source("http:///biocLite.R") biocLite("nem")
markowetz-thesis-2006.pdf | ||
R Script | Nested Effects Models - An example in Drosophila immune response |
biocViews | Microarray, Bioinformatics, GraphsAndNetworks, Pathways |
Depends | R, e1071, graph, Rgraphviz, plotrix, limma, time, cluster |
Imports | boot, e1071, graph, graphics, grDevices, methods, RBGL, RColorBrewer, Rgraphviz, stats, utils |
Suggests | Biobase |
System Requirements | |
License | GPL (>= 2) |
URL | http://www.bioconductor.org |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 2.14.0 |
Package Source | nem_2.14.0.tar.gz |
Windows Binary | nem_2.14.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | nem_2.14.0.tgz |
Package Downloads Report | Download Stats |
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