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 (2.14)

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 1.4.0
In Bioconductor since BioC 2.12 (R-3.0)
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 Archives

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

Package Source CNORfeeder_1.4.0.tar.gz
Windows Binary CNORfeeder_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CNORfeeder_1.4.0.tgz
Mac OS X 10.9 (Mavericks) CNORfeeder_1.4.0.tgz
Browse/checkout source (username/password: readonly)
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