To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CellNOptR")

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

CellNOptR

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see CellNOptR.

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

Bioconductor version: 3.2

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:

## try http:// if https:// URLs are not supported
source("https://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 Main vignette:Playing with networks using CellNOptR
PDF   Reference Manual
Text   NEWS

Details

biocViews CellBasedAssays, CellBiology, Proteomics, Software, TimeCourse
Version 1.16.0
In Bioconductor since BioC 2.9 (R-2.14) (4.5 years)
License GPL-3
Depends R (>= 2.15.0), RBGL, graph, methods, hash, ggplot2, RCurl, Rgraphviz, XML
Imports
LinkingTo
Suggests RUnit, BiocGenerics, igraph
SystemRequirements Graphviz version >= 2.2
Enhances
URL
Depends On Me CNORdt, CNORfeeder, CNORfuzzy, CNORode
Imports Me
Suggests Me MEIGOR
Build Report  

Package Archives

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

Package Source CellNOptR_1.16.0.tar.gz
Windows Binary CellNOptR_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CellNOptR_1.16.0.tgz
Mac OS X 10.9 (Mavericks) CellNOptR_1.16.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/CellNOptR/tree/release-3.2
Package Short Url http://bioconductor.org/packages/CellNOptR/
Package Downloads Report Download Stats

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