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Paper Abstract and Keywords
Presentation 2006-06-15 11:50
Bayesian system identification method for biochemical reaction systems
Junichiro Yoshimoto, Kenji Doya (OIST)
Abstract (in Japanese) (See Japanese page) 
(in English) In a computational approach to life science, computer simulation is essential for verifying hypothetical kinetic models of intracellular molecular mechanisms. However, kinetic parameters used in simulation are often unidentified or unreliable. It is highly desired to develop a method that can automatically estimate the parameters from accessible experimental measurements with high confidence. In this report, we address this estimation problem and present a Bayesian method for solving it. Our contribution is to unify the following three issues in the framework of Bayesian inference: 1) identifying unknown parameters to reproduce experimental measurements; 2) representing confidence intervals of estimated parameters; and 3) visualizing the parameter space in which the kinetic behaviors are similar to experimental measurements. Existing methods rarely dealt with the last two issues. The effectiveness of our method is demonstrated in three benchmark problems.
Keyword (in Japanese) (See Japanese page) 
(in English) signal transduction / biochemical kinetics / system identification / Bayesian inference / Metropolis-Hastings method / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 101, NC2006-14, pp. 31-36, June 2006.
Paper # NC2006-14 
Date of Issue 2006-06-08 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee NC  
Conference Date 2006-06-15 - 2006-06-16 
Place (in Japanese) (See Japanese page) 
Place (in English) OIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Bio-data Mining with Machine Learning and General 
Paper Information
Registration To NC 
Conference Code 2006-06-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bayesian system identification method for biochemical reaction systems 
Sub Title (in English)  
Keyword(1) signal transduction  
Keyword(2) biochemical kinetics  
Keyword(3) system identification  
Keyword(4) Bayesian inference  
Keyword(5) Metropolis-Hastings method  
1st Author's Name Junichiro Yoshimoto  
1st Author's Affiliation Okinawa Institute of Science and Technology (OIST)
2nd Author's Name Kenji Doya  
2nd Author's Affiliation Okinawa Institute of Science and Technology (OIST)
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Date Time 2006-06-15 11:50:00 
Presentation Time 20 
Registration for NC 
Paper # IEICE-NC2006-14 
Volume (vol) IEICE-106 
Number (no) no.101 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-NC-2006-06-08 

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