An Agent-Based Hybrid System for Microarray Data Analysis

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Show simple item record Zhang, Z Yang, PH Wu, X Zhang, C 2010-05-28T09:46:51Z 2009-01
dc.identifier.citation IEEE Intelligent Systems, 2009, 24 (5), pp. 53 - 63
dc.identifier.issn 1541-1672
dc.identifier.other C1 en_US
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.
dc.publisher Ieee Computer Soc
dc.relation.isbasedon 10.1109/MIS.2009.92
dc.title An Agent-Based Hybrid System for Microarray Data Analysis
dc.type Journal Article
dc.parent IEEE Intelligent Systems
dc.journal.volume 5
dc.journal.volume 24
dc.journal.number 5 en_US
dc.publocation Los Alamitos en_US
dc.identifier.startpage 53 en_US
dc.identifier.endpage 63 en_US FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080101 Adaptive Agents and Intelligent Robotics
dc.personcode 100507
dc.personcode 011221
dc.percentage 100 en_US Adaptive Agents and Intelligent Robotics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity ISI:000270546700010 en_US
dc.description.keywords bioinformatics,data mining,hybrid systems,intelligent agents, microarray en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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