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OJB©
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
ABSTRACT
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.
KEY-WORDS
Model-Evolution-Divergence-Tree-Phenotype.
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