©1996-2009 All Rights Reserved. Online Journal
of Bioinformatics. You may not store these pages in any form except for
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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, Online J Bioinformatics 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.
©1996-2004 All Rights Reserved. Online Journal
of Bioinformatics. You may not store these pages in any form except for
your own personal use. All other usage or distribution is illegal under
international copyright treaties. Permission to use any of
these pages in any other way besides the before mentioned must be gained in
writing from the publisher. This article is exclusively copyrighted in
its entirety to OJB publications. This article may be copied once but may not
be reproduced or re-transmitted without the express permission of the editors.