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
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;
Conference_Titel :
Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6775-4
DOI :
10.1109/ICBBT.2010.5478958