Website: http://www.cellnopt.org/
CellNOpt (from CellNetOptimizer; a.k.a. CNO) is a software used for creating logic-based models of signal transduction networks using different logic formalisms (Boolean, Fuzzy, or differential equations). CellNOpt uses information on signaling pathways encoded as a Prior Knowledge Network, and trains it against high-throughput biochemical data to create cell-specific models. CellNOpt is freely available under GPL license in R and Matlab languages. It can be also accessed through a python wrapper, and a Cytoscape plugin called CytoCopter.
CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms
(2012)
BMC Syst Biol 6:133 [doi:10.1186/1752-0509-6-133] [pubmed:23079107]
(2012)
BMC Syst Biol 6:133 [doi:10.1186/1752-0509-6-133] [pubmed:23079107]