Package: CellNOptR
Type: Package
Title: Training of boolean logic models of signalling networks using
        prior knowledge networks and perturbation data
Version: 1.36.0
Date: 2018-11-08
Author: T.Cokelaer, F.Eduati, A.MacNamara, S.Schrier, C.Terfve, E.Gjerga, A.Gabor
Maintainer: A.Gabor <attila.gabor@uni-heidelberg.de>
Depends: R (>= 3.5.0), RBGL, graph, methods, hash, RCurl, Rgraphviz,
        XML, ggplot2
Imports: igraph, stringi, stringr,
Suggests: data.table, dplyr, tidyr, readr, RUnit, BiocGenerics,
Enhances: doParallel
biocViews: CellBasedAssays, CellBiology, Proteomics, Pathways, Network,
        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: 6.1.1
git_url: https://git.bioconductor.org/packages/CellNOptR
git_branch: RELEASE_3_12
git_last_commit: 0f9d117
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: yes
Packaged: 2020-10-27 23:01:48 UTC; biocbuild
Built: R 4.0.3; x86_64-conda-linux-gnu; 2020-11-01 13:25:41 UTC; unix
