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...

Полное описание

Библиографические подробности

Главные авторы:	Tenekedjiev, Kiril Ivanov, Nikolova, Natalia Danailova, Kolev, Krasimir, Ivanov, Kiril, Danailova, Natalia
Формат:	Online
Язык:	английский
Опубликовано:	InTechOpen 2021
Предметы:	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
Online-ссылка:	627382
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!