Institute of Electrical and Electronics Engineers, IEEE Intelligent Systems, 5(24), p. 53-63, 2009
DOI: 10.1109/mis.2009.92
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This article reports our experience in agent-based hybrid construction for microarray data analysis. The contributions are twofold: We demonstrate that agent-based approaches are suitable for building hybrid systems in general, and that a genetic ensemble system is appropriate for microarray data analysis in particular. Created using an agent-based framework, this genetic ensemble system for microarray data analysis excels in both sample classification accuracy and gene selection reproducibility.