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An Agent-Based Hybrid System for Microarray Data Analysis

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4 Author(s)
Zili Zhang ; Southwest Univ., Chongqing, China ; Pengyi Yang ; Xindong Wu ; Zhang, C.

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.

Published in:

Intelligent Systems, IEEE  (Volume:24 ,  Issue: 5 )