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©1996-2009 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.


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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


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.


 

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