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

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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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Détails bibliographiques
Auteur principal: Tenekedjiev, Kiril Ivanov (auth)
Autres auteurs: Nikolova, Natalia Danailova (auth), Kolev, Krasimir (auth), Ivanov, Kiril (auth), Danailova, Natalia (auth)
Format: Électronique Chapitre de livre
Langue:anglais
Publié: InTechOpen 2012
Sujets:
Biochemistry
biochemistry
monte carlo simulation
Confidence interval
Confidence region
Enzyme
Enzyme kinetics
Fatty acid
Plasmin
Random variable
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