Pattern Classification of Phylogeny Signals

Shi Xiaofei, Gu Hong and Field Chris
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Shi Xiaofei: Dalhousie University
Gu Hong: Dalhousie University
Field Chris: Dalhousie University

Statistical Applications in Genetics and Molecular Biology, 2008, vol. 7, issue 1, 22

Abstract: In this paper we propose the minimum entropy clustering (MEC) method for clustering genes based on their phylogenetic signals. This entropy based method will cluster two genes together when their concatenation can decrease the entropy. An integral feature of MEC is that it chooses the number of clusters automatically, which is a major advantage over the other methods. Our simulation results show that this method is quite successful in clustering genes with a common phylogeny.

Keywords: clustering; entropy; phylogenetic trees; concatenation (search for similar items in EconPapers)
Date: 2008
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DOI: 10.2202/1544-6115.1289

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