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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...
Uloženo v:
| Vydáno v: | EURASIP J Bioinform Syst Biol |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer International Publishing
2015
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| Témata: | |
| On-line přístup: | 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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