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Efficient sampling for Bayesian inference of conjunctive Bayesian networks

Published on Oct 23, 20122703 Views

**Motivation:** Cancer development is driven by the accumulation of advantageous mutations and subsequent clonal expansion of cells harbouring these mutations, but the order in which mutations occur

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Chapter list

Ecient Sampling for Bayesian Inference of Conjunctive Bayesian Networks00:00
Characteristics of Cancer progression00:01
Temporal order: CBN01:39
Problem at hand02:49
Bayesian inference of CBNs I03:56
Bayesian inference of CBNs II06:15
Hybrid sampler07:07
Structure moves08:04
Remaining moves and convergence calling11:16
Simulation study I12:12
Simulation study II13:27
Simulation study III15:12
RCC CGH data analysis15:53
Discussion17:21
Acknowledgement19:39