Bioconductor version: Release (2.12)
This package integrates literature-constrained and data-driven methods to infer signalling networks from perturbation experiments. It permits to extends a given network with links derived from the data via various inference methods, and uses information on physical interactions of proteins to guide and validate the integration of links.
Author: F.Eduati
Maintainer: F.Eduati <eduati at ebi.ac.uk>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("CNORfeeder")
To cite this package in a publication, start R and enter:
citation("CNORfeeder")
DDN.pdf | ||
integratedModel.pdf | ||
R Script | Main vignette:Playing with networks using CNORfeeder | |
optModel.pdf | ||
SimResultsT1_1.pdf | ||
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, CellBasedAssays, CellBiology, NetworkInference, Proteomics, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-2.18) |
License | GPL-3 |
Depends | R (>= 2.15.0), CellNOptR(>= 1.4.0), graph |
Imports | |
Suggests | minet, catnet, igraph, Rgraphviz, RUnit, BiocGenerics |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | CNORfeeder_1.0.0.tar.gz |
Windows Binary | CNORfeeder_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | CNORfeeder_1.0.0.tgz |
Package Downloads Report | Download Stats |
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