Inference of Molecular Phylogenetic Tree Based on Minimum Model-based Complexity Method

H. Tanaka, F. Ren, T. Okayama*, T. Gojobori*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In tliis study, starting with a newly introduced concept of data complexity ("empirical data complexity"), we specify the concept of complexity more concretely in relation to mathematical modeling ćind introduce "model-based complexity (MBC) ". Inductive inference based on the minimum model-based complexity method is then applied to the reconstruction of molecular evolutionary tree from DNA sequences. We find that minimum MBC method has good asymptotic property when DNA sequence lengtlis approach to infinite aiid compensates the bias of maximum likelihood method due to the difference of tree topology complexity. The efKciency of minimum MBC method for reconstruction of molecular tree is studied by computer simulation, and re.sults suggest that this method is superior to the traditional mciximum likelihood method or its modification by Akaike's A l C .

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, ISMB 1997
PublisherAAAI press
Pages319-328
Number of pages10
ISBN (Electronic)1577350227, 9781577350224
StatePublished - 1997
Externally publishedYes
Event5th International Conference on Intelligent Systems for Molecular Biology, ISMB 1997 - Halkidiki, Greece
Duration: Jun 21 1997Jun 25 1997

Publication series

NameProceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, ISMB 1997

Conference

Conference5th International Conference on Intelligent Systems for Molecular Biology, ISMB 1997
Country/TerritoryGreece
CityHalkidiki
Period06/21/9706/25/97

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • General Biochemistry, Genetics and Molecular Biology

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