DocumentCode
2569826
Title
Limiting search space in Bayesian network using GGM
Author
Zhang, Qing ; Cao, Yong ; Sun, Samuel S M ; Guo, Dianjing
Author_Institution
Dept. of Biol., Chinese Univ. of Hong Kong, Shatin, China
fYear
2010
fDate
16-18 April 2010
Firstpage
283
Lastpage
287
Abstract
In this paper, we describe a modified greedy search method for selecting the highest Bayesian score. Particularly, our method uses GGM to limit the searching space based on the partial correlation value. We demonstrate that our method achieved comparable results with classical method and saved ~50% of computational time. The modified greedy search method can be widely used for efficient network inference in systems biology.
Keywords
belief networks; biology computing; greedy algorithms; Bayesian network; GGM; highest Bayesian score; modified greedy search method; network inference; partial correlation value; search space limiting; systems biology; Bayesian methods; Biological system modeling; Computational efficiency; Genetics; Packaging; Predictive models; Samarium; Search methods; Space technology; Systems biology; bayesian network; graphicalg aussian model; greedy search; partial correlation; systems biology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6775-4
Type
conf
DOI
10.1109/ICBBT.2010.5478958
Filename
5478958
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