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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.
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Conference papers
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Contributor : Mehdi Kaytoue Connect in order to contact the contributor
Submitted on : Tuesday, June 14, 2011 - 11:55:22 AM
Last modification on : Wednesday, February 9, 2022 - 9:22:02 AM


  • HAL Id : inria-00600224, version 1
  • PRODINRA : 246282



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. ⟨inria-00600224⟩



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