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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qing Zhang Yong Cao Sun, S.S.M. Dianjing Guo |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Biology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR (Qing Zhang; Sun, S.S.M.; Dianjing Guo) || Department of Mechanical Engineering and Automation, Shenzhen Graduate School, Harbin, Insititute of Technology, China (Yong Cao) |
| 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 |
| Starting Page | 283 |
| Ending Page | 287 |
| File Size | 472759 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467754 |
| e-ISBN | 9781424467754 |
| DOI | 10.1109/ICBBT.2010.5478958 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Graphicalg aussian model Biological system modeling Predictive models Bayesian methods Search methods Space technology Systems biology Packaging Genetics Greedy search Computational efficiency Samarium Bayesian network Partial correlation |
| Content Type | Text |
| Resource Type | Article |
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