Gene specific co-regulation discovery: an improved approach
Paper
Paper/Presentation Title | Gene specific co-regulation discovery: an improved approach |
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Presentation Type | Paper |
Authors | Zhang, Ji (Author), Liu, Qing (Author) and Xu, Kai (Author) |
Editors | Allen, G., Nabrzyski, J., Seidel, E., van Albada, G. D., Dongarra, J. and Sloot, P. M. A. |
Journal or Proceedings Title | Lecture Notes in Computer Science (Book series) |
Journal Citation | 5544, pp. 838-847 |
Number of Pages | 10 |
Year | 2009 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 1611-3349 |
0302-9743 | |
ISBN | 9783642019692 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-642-01970-8_84 |
Conference/Event | 2009 International Conference on Computational Science (ICCS 2009): Compute. Discover. Innovate. |
Event Details | 2009 International Conference on Computational Science (ICCS 2009): Compute. Discover. Innovate. Event Date 25 to end of 27 May 2009 Event Location Baton Rouge, United States of America |
Abstract | Discovering gene co-regulatory relationships is a new but important research problem in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a particular gene of interest, called the target gene, identify its strongly co-regulated genes and the condition subsets where such strong gene co-regulations are observed. The study on this problem can contribute to a better understanding and characterization of the target gene. The existing method, using the genetic algorithm (GA), is slow due to its expensive fitness evaluation and long individual representation. In this paper, we propose an improved method for finding gene specific co-regulations. Compared with the current method, our method features a notably improved efficiency. We employ kNN Search Table to substantially speed up fitness evaluation in the GA. We also propose a more compact representation scheme for encoding individuals in the GA, which contributes to faster crossover and mutation operations. Experimental results with a real-life gene microarray data set demonstrate the improved efficiency of our technique compared with the current method. |
Keywords | genes; gene co-regulatory relationships; gene specific co-regulation |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia |
https://research.usq.edu.au/item/9z26y/gene-specific-co-regulation-discovery-an-improved-approach
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