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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