Package: CellNOptR
Type: Package
Title: Training of boolean logic models of signalling networks using
        prior knowledge networks and perturbation data
Version: 1.40.0
Date: 2021-10-12
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 (>= 4.0.0), RBGL, graph, methods, hash, RCurl, Rgraphviz,
        XML, ggplot2
Imports: igraph, stringi, stringr,
Suggests: data.table, dplyr, tidyr, readr, RUnit, BiocGenerics,
Enhances: doParallel, plyr, foreach
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: 7.1.2
git_url: https://git.bioconductor.org/packages/CellNOptR
git_branch: RELEASE_3_14
git_last_commit: 5643aae
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: yes
Packaged: 2021-10-26 21:02:00 UTC; biocbuild
Built: R 4.1.1; x86_64-conda-linux-gnu; 2021-11-03 17:23:07 UTC; unix
