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Mining biological data using pyramids

Abstract : This paper is a review of promising applications of pyramidal classification to biological data. We show that overlapping and ordering properties can give new insights that cannot be achieved using more classical methods. We examplify our point using three applications: (i) a genome scale sequence analysis; (ii) a new progressive multiple sequence alignment method. (iii) a cluster analysis of transcriptomic data.
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Submitted on : Friday, February 1, 2008 - 3:45:59 PM
Last modification on : Monday, December 14, 2020 - 12:28:23 PM


  • HAL Id : hal-00232701, version 1



Géraldine Polaillon, Laure Vescovo, Magali Michaut, Jean-Christophe Aude. Mining biological data using pyramids. Selected Contributions in Data Analysis and Classification., SPRINGER, pp.397-408, 2007. ⟨hal-00232701⟩



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