Discover gene specific local co-regulations using progressive genetic algorithm
Paper
Paper/Presentation Title | Discover gene specific local co-regulations using progressive genetic algorithm |
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Presentation Type | Paper |
Authors | Zhang, Ji (Author), Gao, Qigang (Author) and Wang, Hai (Author) |
Journal or Proceedings Title | Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06) |
Number of Pages | 8 |
Year | 2006 |
Place of Publication | New York, United States |
ISBN | 0769527280 |
Web Address (URL) of Paper | http://www.nvc.cs.vt.edu/ictai06/ |
Conference/Event | 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06) |
Event Details | 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06) Event Date 13 to end of 15 Nov 2006 Event Location Washington D.C., United States |
Abstract | [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. |
Keywords | gene specific co-regulation; progressive genetic algorithm |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | © 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Dalhousie University, Canada |
Saint Mary's University, Canada |
https://research.usq.edu.au/item/9z280/discover-gene-specific-local-co-regulations-using-progressive-genetic-algorithm
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