CT-CBN is a collection of two C programs, ct-cbn and h-cbn, that implement algorithms for model selection and maximum likelihood parameter estimation for continuous time conjunctive Bayesian networks. These graphical models have been designed to model the accumulation of mutations subject to constraints on the order in which the mutations can occur. The order constraints are encoded as a partially ordered set (poset) of genetic events. The waiting time for each event follows an independent exponential distribution.
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Gerstung M, Baudis M, Moch H, Beerenwinkel N (2009).
Quantifying cancer progression with conjunctive Bayesian networks.