Chapter 4 Applications of Monte Carlo Simulation in Modelling of Biochemical Processes

Chapter 4 Applications of Monte Carlo Simulation in Modelling of Biochemical Processes

The biochemical models describing complex and dynamic metabolic systems are typically multi-parametric and non-linear, thus the identification of their parameters requires nonlinear regression analysis of the experimental data. The stochastic nature of the experimental samples poses the necessity to...

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Bibliographic Details
Main Author: Tenekedjiev, Kiril Ivanov (auth)
Other Authors: Nikolova, Natalia Danailova (auth), Kolev, Krasimir (auth), Ivanov, Kiril (auth), Danailova, Natalia (auth)
Format: Book Chapter
Published: InTechOpen 2012
Subjects:
Biochemistry
biochemistry
monte carlo simulation
Confidence interval
Confidence region
Enzyme
Enzyme kinetics
Fatty acid
Plasmin
Random variable
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