Last data update: 2014.03.03

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

Package: CellNOptR
Type: Package
Title: Training of boolean logic models of signalling networks using
prior knowledge networks and perturbation data.
Version: 1.18.0
Date: 2014-03-13
Author: T.Cokelaer, F.Eduati, A.MacNamara, S.Schrier, C.Terfve
Maintainer: T.Cokelaer <cokelaer@ebi.ac.uk>
Depends: R (>= 2.15.0), RBGL, graph, methods, hash, ggplot2, RCurl,
Rgraphviz, XML
Suggests: RUnit, BiocGenerics, igraph
biocViews: CellBasedAssays, CellBiology, Proteomics, TimeCourse
Description: 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.
License: GPL-3
LazyLoad: yes
SystemRequirements: Graphviz version >= 2.2
NeedsCompilation: yes
Packaged: 2016-05-04 04:18:04 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, CellBiology, Proteomics, TimeCourse
22 images, 66 functions, 7 datasets
Reverse Depends: 4