Zhang, Ji and Gao, Qigang and Wang, Hai (2006) Discover gene specific local co-regulations using progressive genetic algorithm. In: 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 13-15 Nov 2006, Washington D.C., United States.
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[Abstract]: The problem of gene specific co-regulation discovery is that, for a particular gene of interest, identify its closely co-regulated genes and the associated subsets of experimental conditions in which such co-regulations occur. The co-regulations are local in the sense that they occur in some subsets of full experimental conditions. In this paper, we propose an innovative method for finding gene specific co-regulations using genetic algorithm (GA). Two novel ad hoc GAs, the single-stage and two-stage progressive GA, are proposed. They are called progressive because the initial population for the GA in a window position inherits the top-ranked individuals obtained in the preceding window position, enabling them to achieve better accuracy than the non-progressive algorithm. Experimental results with real-life gene expression data demonstrate the efficiency and effectiveness of our technique in discovering gene specific co-regulations.
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|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Item Status:||Live Archive|
|Additional Information:||Published version deposited in accordance with the copyright policy of the publisher. © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purpose or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Depositing User:||Dr Ji Zhang|
|Faculty / Department / School:||Historic - Faculty of Sciences - Department of Maths and Computing|
|Date Deposited:||01 Sep 2009 23:32|
|Last Modified:||02 Jul 2013 23:23|
|Uncontrolled Keywords:||gene specific co-regulation; progressive genetic algorithm|
|Fields of Research (FOR2008):||08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining|
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