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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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Publicado no: | EURASIP J Bioinform Syst Biol |
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Main Authors: | , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Springer International Publishing
2015
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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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