Package: CellNOptR Type: Package Title: Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data Version: 1.59.0 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: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:36:01 UTC RemoteUrl: https://github.com/bioc/CellNOptR RemoteRef: HEAD RemoteSha: bd7ff69ddb46550a43762891c38a6d68ace2a86a NeedsCompilation: yes Packaged: 2026-06-23 15:37:15 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