Extended constraint-based boolean analysis: A computational method in genetic network inference
Conference proceedings article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Bumee S., Liamwirat C., Saithong T., Meechai A.
Publisher: Springer Verlag (Germany): Computer Proceedings
Publication year: 2010
Volume number: 115 CCIS
Start page: 71
End page: 82
Number of pages: 12
ISBN: 3642167497; 9783642167492
ISSN: 1865-0929
Languages: English-Great Britain (EN-GB)
View in Web of Science | View on publisher site | View citing articles in Web of Science
Abstract
Reconstruction of a genetic network, which describes gene regulation of cellular response processes, has been widely studied by using various approaches. Some of which are computational expensive and require enormous efforts. Herein, we proposed anextended constraint-based Boolean to infer genetic network. Our method incorporated the specific constraints for a particular system in addition to the general conceptual constraints of a typical genetic circuit, to improve the performance of the existing constraint-based Boolean algorithm. This method was demonstrated in inference of the genetic network underlying circadian rhythms from microarray time series data. The results showed that the proposed method provides good accuracy, specificity, and precision under the trade-off of computational efforts. Moreover, the resulting network showed that prior knowledge is a useful bias for modeling genetic network. The proposed method is therefore a promising alternative approach for inferring genetic network from high-throughput data, such as microarray. ฉ 2010 Springer-Verlag Berlin Heidelberg.
Keywords
conceptual constraints, extended constraint-based Boolean, Genetic network, specific constraints
Contact Information