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 |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!