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Using multi-step proposal distribution for improved MCMC convergence in Bayesian network structure learning

Bayesian networks have become popular for modeling probabilistic relationships between entities. As their structure can also be given a causal interpretation about the studied system, they can be used to learn, for example, regulatory relationships of genes or proteins in biological networks and pat...

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Detalhes bibliográficos
Publicado no:EURASIP J Bioinform Syst Biol
Main Authors: Larjo, Antti, Lähdesmäki, Harri
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5270512/
https://ncbi.nlm.nih.gov/pubmed/28316611
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-015-0024-7
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