Presentation 2006-06-15
Bayesian system identification method for biochemical reaction systems
Junichiro YOSHIMOTO, Kenji DOYA,
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Abstract(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.
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Keyword(in English) signal transduction / biochemical kinetics / system identification / Bayesian inference / Metropolis-Hastings method
Paper # NC2006-14
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Committee NC
Conference Date 2006/6/8(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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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 Initial Research Project, Okinawa Institute of Science and Technology:Nara Institute of Science and Technology()
2nd Author's Name Kenji DOYA
2nd Author's Affiliation Initial Research Project, Okinawa Institute of Science and Technology:Nara Institute of Science and Technology
Date 2006-06-15
Paper # NC2006-14
Volume (vol) vol.106
Number (no) 101
Page pp.pp.-
#Pages 6
Date of Issue