Package: CellNOptR
Type: Package
Title: Training of boolean logic models of signalling networks using
        prior knowledge networks and perturbation data
Version: 1.57.0
Date: 2022-03-16
Authors@R: c(
    person(given = "Thomas",
           family = "Cokelaer",
           role = c("aut")),
    person(given = "Federica",
           family = "Eduati",
           role = "aut"),
    person(given = "Aidan",
           family = "MacNamara",
           role = "aut"),
    person(given = "S",
           family = "Schrier",
           role = "ctb"),
    person(given = "Camille",
           family = "Terfve",
           role = "aut"),
    person(given = "Enio",
           family = "Gjerga",
           role = "ctb"),
    person(given = "Attila",
           family = "Gabor",
           role = "cre",
           email = "attila.gabor@uni-heidelberg.de")
           )
Depends: R (>= 4.0.0), RBGL, graph, methods, RCurl, Rgraphviz, XML,
        ggplot2, rmarkdown
Imports: igraph, stringi, stringr
Suggests: data.table, dplyr, tidyr, readr, knitr, RUnit, BiocGenerics,
Enhances: doParallel, foreach
VignetteBuilder: knitr
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
Config/pak/sysreqs: libglpk-dev make libicu-dev libxml2-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:09:33 UTC
RemoteUrl: https://github.com/bioc/CellNOptR
RemoteRef: HEAD
RemoteSha: 1b9d01eb19adec721f46f1caa63791dfc16966f1
NeedsCompilation: yes
Packaged: 2025-11-09 07:08:31 UTC; root
Author: Thomas Cokelaer [aut],
  Federica Eduati [aut],
  Aidan MacNamara [aut],
  S Schrier [ctb],
  Camille Terfve [aut],
  Enio Gjerga [ctb],
  Attila Gabor [cre]
Maintainer: Attila Gabor <attila.gabor@uni-heidelberg.de>
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-09 07:15:50 UTC; windows
Archs: x64
