:: DESCRIPTION
bayes-cbn is an R package including an MCMC sampling algorithm for Bayesian inference of CBNs.
::DEVELOPER
the Computational Biology Group (CBG)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioinformatics. 2012 Sep 15;28(18):2318-24. doi: 10.1093/bioinformatics/bts433. Epub 2012 Jul 10.
Efficient sampling for Bayesian inference of conjunctive Bayesian networks.
Sakoparnig T, Beerenwinkel N.
:: DESCRIPTION
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.
::DEVELOPER
the Computational Biology Group (CBG)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Gerstung M, Baudis M, Moch H, Beerenwinkel N (2009).
Quantifying cancer progression with conjunctive Bayesian networks.
Bioinformatics 25(21):2809-2815.
