To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CNORfeeder")

In most cases, you don't need to download the package archive at all.

CNORfeeder

Integration of CellNOptR to add missing links

Bioconductor version: Release (3.0)

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>

Citation (from within R, enter citation("CNORfeeder")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CNORfeeder")

Documentation

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

browseVignettes("CNORfeeder")

 

PDF R Script Main vignette:Playing with networks using CNORfeeder
PDF   Reference Manual
Text   NEWS

Details

biocViews CellBasedAssays, CellBiology, NetworkInference, Proteomics, Software
Version 1.6.0
In Bioconductor since BioC 2.12 (R-3.0)
License GPL-3
Depends R (>= 2.15.0), CellNOptR(>= 1.4.0), graph
Imports
LinkingTo
Suggests minet, catnet, igraph, Rgraphviz, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source CNORfeeder_1.6.0.tar.gz
Windows Binary CNORfeeder_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CNORfeeder_1.6.0.tgz
Mac OS X 10.9 (Mavericks) CNORfeeder_1.6.0.tgz
Browse/checkout source (username/password: readonly)
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