Toward the discovery of itemsets with significant variations in gene expression matrices

Mehdi Kaytoue 1 Sébastien Duplessis 2 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents new syntactic constraints for itemset mining in gene expression matrices. Biologists are interested in identifying gene expression profiles which present similar quantitative variation features. A two dimensional gene expression profile representation is introduced and adapted to itemset mining allowing to control gene expression. Syntactic constraints introduce expert knowledge at the beginning of the Knowledge Discovery in Databases process and are used to discover itemsets with significant expression variations from a large collection of gene expression profiles.
Type de document :
Communication dans un congrès
First joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society - SFC - CLADAG 2008, Jun 2008, Caserta, Italy. 2008
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https://hal.inria.fr/inria-00600224
Contributeur : Mehdi Kaytoue <>
Soumis le : mardi 14 juin 2011 - 11:55:22
Dernière modification le : jeudi 11 janvier 2018 - 06:19:53

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  • HAL Id : inria-00600224, version 1

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Mehdi Kaytoue, Sébastien Duplessis, Amedeo Napoli. Toward the discovery of itemsets with significant variations in gene expression matrices. First joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society - SFC - CLADAG 2008, Jun 2008, Caserta, Italy. 2008. 〈inria-00600224〉

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