An Agent-Based Hybrid System for Microarray Data Analysis

Ieee Computer Soc
Publication Type:
Journal Article
IEEE Intelligent Systems, 2009, 24 (5), pp. 53 - 63
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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.
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