Using clustering trees for learning phylogenetic trees.
Celine Vens and Hendrik Blockeel
In: 5th International Workshop on Mining and Learning with Graphs, 1-3 Aug 2007, Florence, Italy.

Abstract

This paper presents ongoing work on an application of machine learning in phylogenetic analysis, which is the study of evolutionary relatedness among various groups of organisms. Insights in evolutionary relationships are important because they can help to determine the function of uncharacterized genes and they can be used to predict future variants of fast-growing viruses. More precisely, we focus on the following task: given a set of DNA sequences, and given that they all originate from a single sequence via successive mutations, find the phylogenetic tree that describes the evolutionary process.

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