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| 003 | MX-MdCICY | ||
| 005 | 20250625124643.0 | ||
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| 090 | _aB-6468 | ||
| 245 | 1 | 0 | _aAnalytical Bayesian Approach for Assigning Individuals to Populations |
| 490 | 0 | _vJournal of Heredity, 95(3), p.217-224, 2004 | |
| 520 | 3 | _aWe propose a general formulation of the Bayesian method for assigning individuals to a population among a predetermined set of reference populations using molecular marker information. Compared to previously published methods, ours allows us to consider different types of prior information about allele frequencies by using a Dirichlet prior probability distribution. It also makes it possible to assign a set of individuals assumed to belong to the same population with increased accuracy using their pooled genotype data. The efficiency of the method is illustrated by application to a group of closely related coconut populations. An interesting feature of the Bayesian procedure is the way it handles imprecise information. With a poor or even incomplete dataset, assignment is still be possible and gives valid results: poor data quality is reflected in an ambiguous result rather than in a false conclusion. | |
| 700 | 1 | 2 | _aBaudouin, L. |
| 700 | 1 | 2 | _aPiry, S. |
| 700 | 1 | 2 | _aCornuet, J.M. |
| 856 | 4 | 0 |
_uhttps://drive.google.com/file/d/1CPJEupJTw_0eEHZoiIFdbZSwWLt5bbtI/view?usp=drivesdk _zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx |
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