Sufficient statistics and expectation maximization algorithms in phylogenetic tree models | Zendy

Hisanori Kiryu | Zendy

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Sufficient statistics and expectation maximization algorithms in phylogenetic tree models

Author(s) -

Hisanori Kiryu

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr420

Subject(s) - phylogenetic tree , statistic , computer science , tree (set theory) , expectation–maximization algorithm , maximization , algorithm , markov chain , convergence (economics) , mathematics , statistics , mathematical optimization , biology , combinatorics , maximum likelihood , genetics , gene , economics , economic growth

Measuring evolutionary conservation is a routine step in the identification of functional elements in genome sequences. Although a number of studies have proposed methods that use the continuous time Markov models (CTMMs) to find evolutionarily constrained elements, their probabilistic structures have been less frequently investigated.

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