Class discovery in gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
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International Journal of Bioinformatics Research and Applications
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In this paper we discuss an optimization-based approach to handling data classification problems. The main idea of the proposed method is to reformulate the classification problem as a mathematical programming problem, whose solution implies relevant feature selection and forms the classes of data. Encouraging computational results on two DNA microarray data mining problems are reported.