An Agent-Based Hybrid System for Microarray Data Analysis
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| dc.contributor.author | Zhang Zili | en_US |
| dc.contributor.author | Yang P | en_US |
| dc.contributor.author | Wu Xindong | en_US |
| dc.contributor.author | Zhang Chengqi | en_US |
| dc.contributor.editor | en_US | |
| dc.date.accessioned | 2010-05-28T09:46:51Z | |
| dc.date.available | 2010-05-28T09:46:51Z | |
| dc.date.issued | 2009 | en_US |
| dc.identifier | 2008007760 | en_US |
| dc.identifier.citation | Zhang Zili et al. 2009, 'An Agent-Based Hybrid System for Microarray Data Analysis', Ieee Computer Soc, vol. 24, no. 5, pp. 53-63. | en_US |
| dc.identifier.issn | 1541-1672 | en_US |
| dc.identifier.other | C1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/8995 | |
| dc.description.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. | en_US |
| dc.language | en_US | |
| dc.publisher | Ieee Computer Soc | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1109/MIS.2009.92 | en_US |
| dc.title | An Agent-Based Hybrid System for Microarray Data Analysis | en_US |
| dc.parent | IEEE Intelligent Systems | en_US |
| dc.journal.volume | 24 | en_US |
| dc.journal.number | 5 | en_US |
| dc.publocation | Los Alamitos | en_US |
| dc.identifier.startpage | 53 | en_US |
| dc.identifier.endpage | 63 | en_US |
| dc.cauo.name | FEIT.School of Systems, Management and Leadership | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 080101 | en_US |
| dc.personcode | 0000017294;100507;0000032618;011221 | en_US |
| dc.percentage | 000100 | en_US |
| dc.classification.name | Adaptive Agents and Intelligent Robotics | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | en_US | |
| dc.custom | en_US | |
| dc.date.activity | en_US | |
| dc.location.activity | ISI:000270546700010 | en_US |
| dc.description.keywords | bioinformatics,data mining,hybrid systems,intelligent agents, microarray | en_US |
| dc.staffid | Deakin University;University of Vermont | en_US |
