Package: CellNOptR
Type: Package
Title: Training of boolean logic models of signalling networks using
        prior knowledge networks and perturbation data
Version: 1.33.0
Date: 2018-11-08
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
Imports: igraph, stringi, stringr,
Suggests: data.table, plyr, dplyr, tidyr, readr, RUnit, BiocGenerics,
biocViews: CellBasedAssays, CellBiology, Proteomics, Bioinformatics,
        TimeCourse, ImmunoOncology
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: 6.1.0
git_url: https://git.bioconductor.org/packages/CellNOptR
git_branch: master
git_last_commit: b132c03
git_last_commit_date: 2019-10-29
Date/Publication: 2019-11-08
NeedsCompilation: yes
Packaged: 2019-11-09 02:22:00 UTC; biocbuild
Built: R 4.0.0; i386-w64-mingw32; 2019-11-09 09:23:25 UTC; windows
Archs: i386, x64
