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Online Journal of Bioinformatics©
Volume 5 : 78-94, 2004.
Bayesian mixture modeling of species divergence.
Adam A, Mengersen K, Baker P.
1INSEE, CREST, Paris, France, 2Kerrie Mengersen1, Queensland University of Technology, Australia, 3CMIS, CSIRO, Australia
Adam A, Mengersen K, Baker P Bayesian Mixture Modelling of Species Divergence, Onl J Bioinform., 5:78-94, 2004. An hierarchical finite mixture model was developed to describe evolutionary divergence. The number of components per hierarchy and number of levels of the hierarchy were unknown. The model was applied to the construction of a tree representing historical species, based on phenotypic data available from a number of independent present day populations. A simulation study demonstrated that the evolutionary model was reasonably well constructed. However, the method tended to minimize differences between ancestral species rather than present day differences. Modifications to the method are proposed for meta–analysis and classification.