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
git_url: https://git.bioconductor.org/packages/CellNOptR
git_branch: devel
git_last_commit: 1b9d01e
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
