Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2014.11a
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- Pages.849-852
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- 2014
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Reverse Engineering of a Gene Regulatory Network from Time-Series Data Using Mutual Information
- Barman, Shohag (School of Electrical Engineering, University of Ulsan) ;
- Kwon, Yung-Keun (School of Electrical Engineering, University of Ulsan)
- Published : 2014.11.05
Abstract
Reverse engineering of gene regulatory network is a challenging task in computational biology. To detect a regulatory relationship among genes from time series data is called reverse engineering. Reverse engineering helps to discover the architecture of the underlying gene regulatory network. Besides, it insights into the disease process, biological process and drug discovery. There are many statistical approaches available for reverse engineering of gene regulatory network. In our paper, we propose pairwise mutual information for the reverse engineering of a gene regulatory network from time series data. Firstly, we create random boolean networks by the well-known
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