To install this package, start R and enter:

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

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

CellNOptR

Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data.

Bioconductor version: Release (2.14)

This package does optimisation of boolean logic networks of signalling pathways based on a previous knowledge network and a set of data upon perturbation of the nodes in the network.

Author: T.Cokelaer, F.Eduati, A.MacNamara, S.Schrier, C.Terfve

Maintainer: T.Cokelaer <cokelaer at ebi.ac.uk>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("CellNOptR")

 

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

Details

biocViews Bioinformatics, CellBasedAssays, CellBiology, Proteomics, Software, TimeCourse
Version 1.10.0
In Bioconductor since BioC 2.9 (R-2.14)
License GPL-3
Depends R (>= 2.15.0), RBGL, graph, methods, hash, ggplot2, RCurl, Rgraphviz, XML
Imports
Suggests RUnit, BiocGenerics, igraph
System Requirements Graphviz version >= 2.2
URL
Depends On Me CNORdt, CNORfeeder, CNORfuzzy, CNORode
Imports Me
Suggests Me

Package Archives

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

Package Source CellNOptR_1.10.0.tar.gz
Windows Binary CellNOptR_1.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CellNOptR_1.10.0.tgz
Mac OS X 10.9 (Mavericks) CellNOptR_1.10.0.tgz
Browse/checkout source (username/password: readonly)
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