Limiting search space in bayesian network using GGM

Qing Zhang; Samuel S.M. Sun; Yong Cao; Dianjing Guo

doi:10.1109/ICBBT.2010.5478958

Limiting search space in bayesian network using GGM

Qing Zhang^*
, Samuel S.M. Sun
, Yong Cao
, Dianjing Guo

^*Corresponding author for this work

Chinese University of Hong Kong
Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology
Pages	283-287
Number of pages	5
DOIs	https://doi.org/10.1109/ICBBT.2010.5478958
State	Published - 2010
Externally published	Yes
Event	2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010 - Chengdu, China Duration: 16 Apr 2010 → 18 Apr 2010

Publication series

Name	ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology

Conference

Conference	2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010
Country/Territory	China
City	Chengdu
Period	16/04/10 → 18/04/10

Keywords

Bayesian network
Graphicalg aussian model
Greedy search
Partial correlation
Systems biology

Access to Document

10.1109/ICBBT.2010.5478958

Cite this

@inproceedings{c60dfc3e8e3b475fa2230b4a24d4da8d,

title = "Limiting search space in bayesian network using GGM",

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 \textasciitilde{}50\% of computational time. The modified greedy search method can be widely used for efficient network inference in systems biology.",

keywords = "Bayesian network, Graphicalg aussian model, Greedy search, Partial correlation, Systems biology",

author = "Qing Zhang and Sun, \{Samuel S.M.\} and Yong Cao and Dianjing Guo",

year = "2010",

doi = "10.1109/ICBBT.2010.5478958",

language = "英语",

isbn = "9781424467761",

series = "ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology",

pages = "283--287",

booktitle = "ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology",

note = "2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010 ; Conference date: 16-04-2010 Through 18-04-2010",

}

Zhang, Q, Sun, SSM, Cao, Y & Guo, D 2010, Limiting search space in bayesian network using GGM. in ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology., 5478958, ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology, pp. 283-287, 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010, Chengdu, China, 16/04/10. https://doi.org/10.1109/ICBBT.2010.5478958

Limiting search space in bayesian network using GGM. / Zhang, Qing; Sun, Samuel S.M.; Cao, Yong et al.
ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology. 2010. p. 283-287 5478958 (ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhang, Qing

AU - Sun, Samuel S.M.

AU - Cao, Yong

AU - Guo, Dianjing

PY - 2010

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AB - 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.

KW - Bayesian network

KW - Graphicalg aussian model

KW - Greedy search

KW - Partial correlation

KW - Systems biology

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DO - 10.1109/ICBBT.2010.5478958

M3 - 会议稿件

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T3 - ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology

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BT - ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology

T2 - 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010

Y2 - 16 April 2010 through 18 April 2010

ER -

Limiting search space in bayesian network using GGM

Abstract

Publication series

Conference

Keywords

Access to Document

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