Sequential patterns mining and gene sequence visualization to discover novelty from microarray data

Abstract

Data mining allow users to discover novelty in huge amounts of data. Frequent pattern methods have proved to be efficient, but the extracted patterns are often too numerous and thus difficult to analyze by end users. In this paper, we focus on sequential pattern mining and propose a new visualization system to help end users analyze the extracted knowledge… (More)
DOI: 10.1016/j.jbi.2011.04.002

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