Characterization of a Bayesian genetic clustering algorithm based on a Dirichlet process prior and comparison among Bayesian clustering methods
<p>Abstract</p> <p>Background</p> <p>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 propertie...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-06-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/12/263 |