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Bayesian Clustering Using Hidden Markov Random Fields in Spatial Population Genetics
We introduce a new Bayesian clustering algorithm for studying population structure using individually geo-referenced multilocus data sets. The algorithm is based on the concept of hidden Markov random field, which models the spatial dependencies at the cluster membership level. We argue that (i) a M...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Copyright © 2006 by the Genetics Society of America
2006
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1602073/ https://ncbi.nlm.nih.gov/pubmed/16888334 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.106.059923 |
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