Package: CellNOptR
Type: Package
Title: Training of boolean logic models of signalling networks using
        prior knowledge networks and perturbation data
Version: 1.28.0
Date: 2018-01-10
Author: T.Cokelaer, F.Eduati, A.MacNamara, S.Schrier, C.Terfve
Maintainer: A.Gabor <gabor.attila87@gmail.com>
Depends: R (>= 2.15.0), RBGL, graph, methods, hash, RCurl, Rgraphviz,
        XML, ggplot2
Suggests: RUnit, BiocGenerics, igraph, stringi, stringr
biocViews: CellBasedAssays, CellBiology, Proteomics, Bioinformatics,
        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
RoxygenNote: 5.0.1
git_url: https://git.bioconductor.org/packages/CellNOptR
git_branch: RELEASE_3_8
git_last_commit: 1ef5684
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: yes
Packaged: 2018-10-30 23:29:32 UTC; biocbuild
Built: R 3.5.1; x86_64-conda_cos6-linux-gnu; 2018-12-17 19:37:35 UTC; unix
