An Agent-Based Hybrid System for Microarray Data Analysis

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Zili Zhang, Pengyi Yang, Xindong Wu, Chengqi Zhang

Published: 2009, Last Modified: 21 Jan 2026IEEE Intell. Syst. 2009EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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.