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  • Title: FM-GA and CM-GA for gene microarray analysis.
    Author: Liang LR, Palomino RA, Lu Z, Mandal V, Kumar D.
    Journal: Adv Exp Med Biol; 2010; 680():199-204. PubMed ID: 20865502.
    Abstract:
    In this paper, we propose two new approaches, FM-GA and CM-GA, to identify significant genes from microarray datasets. FM-GA and CM-GA combine our innovative FM-test and CM-test with genetic algorithm (GA), respectively, and leverage the strengths of GA. The performance of FM-GA and CM-GA was evaluated by the classification accuracy of decision trees constructed with the selected genes. Experiments were conducted to demonstrate the superiority of the proposed method over other approaches.
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