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...

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主要な著者:	Tenekedjiev, Kiril Ivanov, Nikolova, Natalia Danailova, Kolev, Krasimir, Ivanov, Kiril, Danailova, Natalia
フォーマット:	Online
言語:	英語
出版事項:	InTechOpen 2021
主題:	biochemistry monte carlo simulation Confidence interval Confidence region Enzyme Enzyme kinetics Fatty acid Plasmin Random variable thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry
オンライン･アクセス:	627382
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