An improving gene selection for microarray data

Abstract

The microarray data consists of tens of thousands of genes on a genomic scale. To avoid higher computational complexity, it needs gene selection to find the gene subsets that are able to explain the disease. In this paper, an improving gene selection for microarray data is proposed. In the proposed algorithm, scatter search is used to obtain suitable… (More)
DOI: 10.1109/FUZZY.2009.5277430

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