Characterization of a Bayesian genetic clustering algorithm based on a Dirichlet process prior and comparison among Bayesian clustering methods

BACKGROUND: A Bayesian approach based on a Dirichlet process (DP) prior is useful for inferring genetic population structures because it can infer the number of populations and the assignment of individuals simultaneously. However, the properties of the DP prior method are not well understood, and t...

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Detalles Bibliográficos
Autores principales: Onogi, Akio, Nurimoto, Masanobu, Morita, Mitsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161044/
https://www.ncbi.nlm.nih.gov/pubmed/21708038
http://dx.doi.org/10.1186/1471-2105-12-263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161044/
https://www.ncbi.nlm.nih.gov/pubmed/21708038
http://dx.doi.org/10.1186/1471-2105-12-263

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