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