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An agent-based hybrid system for microarray data analysis

Zhang, Zili, Yang, Pengyi, Wu, Xindong and Zhang, Chengqi 2009, An agent-based hybrid system for microarray data analysis, Intelligent systems, vol. 24, no. 5, September/October, pp. 53-63, doi: 10.1109/MIS.2009.92.

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Title An agent-based hybrid system for microarray data analysis
Author(s) Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Yang, Pengyi
Wu, Xindong
Zhang, Chengqi
Journal name Intelligent systems
Volume number 24
Issue number 5
Season September/October
Start page 53
End page 63
Total pages 11
Publisher IEEE
Place of publication Los Alamitos, Calif.
Publication date 2009
ISSN 1541-1672
1941-1294
Summary 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.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language eng
DOI 10.1109/MIS.2009.92
Field of Research 080101 Adaptive Agents and Intelligent Robotics
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2009, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029412

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.