منابع مشابه
Conjunctive Bayesian Networks
Conjunctive Bayesian networks (CBNs) are graphical models that describe the accumulation of events which are constrained in the order of their occurrence. A CBN is given by a partial order on a (finite) set of events. CBNs generalize the oncogenetic tree models of Desper et al. (1999) by allowing the occurrence of an event to depend on more than one predecessor event. The present paper studies ...
متن کاملQuantifying cancer progression with conjunctive Bayesian networks
MOTIVATION Cancer is an evolutionary process characterized by accumulating mutations. However, the precise timing and the order of genetic alterations that drive tumor progression remain enigmatic. RESULTS We present a specific probabilistic graphical model for the accumulation of mutations and their interdependencies. The Bayesian network models cancer progression by an explicit unobservable...
متن کاملEfficient sampling for Bayesian inference of conjunctive Bayesian networks
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 remains poorly understood. Advances in genome sequencing and the soon-arriving flood of cancer genome data produced by large cancer sequencing consortia hold the promise to elucidate cancer progression. ...
متن کاملA Bayesian Approach to Estimating the Selectivity of Conjunctive Predicates
Cost-based optimizers in relational databases make use of data statistics to estimate intermediate result cardinalities. Those cardinalities are needed to estimate access plan costs in order to choose the cheapest plan for executing a query. Since statistics are usually collected on single attributes only, the optimizer can not directly estimate result cardinalities of conjunctive predicates ov...
متن کاملAn Introduction to Inference and Learning in Bayesian Networks
Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...
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ژورنال
عنوان ژورنال: Bernoulli
سال: 2007
ISSN: 1350-7265
DOI: 10.3150/07-bej6133