Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.eswa.2005.09.044
DC Field | Value | |
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dc.title | Model gene network by semi-fixed Bayesian network | |
dc.contributor.author | Liu, T.-F. | |
dc.contributor.author | Sung, W.-K. | |
dc.contributor.author | Mittal, A. | |
dc.date.accessioned | 2013-07-23T09:32:15Z | |
dc.date.available | 2013-07-23T09:32:15Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Liu, T.-F., Sung, W.-K., Mittal, A. (2006). Model gene network by semi-fixed Bayesian network. Expert Systems with Applications 30 (1) : 42-49. ScholarBank@NUS Repository. https://doi.org/10.1016/j.eswa.2005.09.044 | |
dc.identifier.issn | 09574174 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/43371 | |
dc.description.abstract | Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, learning gene network is a crucial problem in the post genome era. Most existing works learn gene networks by assuming one gene provokes the expression of another gene directly leading to an over-simplified model. In this paper, we show that the gene regulation is a complex problem with many hidden variables. We propose a semi-fixed model to represent the gene network as a Bayesian network with hidden variables. In addition, an effective algorithm based on semi-fixed structure learning is proposed to learn the model. Experimental results and comparison with the-state-of-the-art learning algorithms on artificial and real-life datasets confirm the effectiveness of our approach. © 2005 Elsevier Ltd. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.eswa.2005.09.044 | |
dc.source | Scopus | |
dc.subject | Bayesian networks | |
dc.subject | Gene network | |
dc.subject | Hidden variable | |
dc.subject | Semi-fixed network | |
dc.subject | Semi-fixed structure EM learning algorithm | |
dc.type | Review | |
dc.contributor.department | BIOLOGICAL SCIENCES | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1016/j.eswa.2005.09.044 | |
dc.description.sourcetitle | Expert Systems with Applications | |
dc.description.volume | 30 | |
dc.description.issue | 1 | |
dc.description.page | 42-49 | |
dc.description.coden | ESAPE | |
dc.identifier.isiut | 000233798400006 | |
Appears in Collections: | Staff Publications |
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