research-article

Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation

Authors:

Tianhai TianAuthors Info & Claims

ICCMS '23: Proceedings of the 2023 15th International Conference on Computer Modeling and Simulation

Pages 22 - 27

https://doi.org/10.1145/3608251.3608277

Published: 17 August 2023 Publication History

Abstract

Nonlinear mixed-effect model is a powerful tool to analyze complex data that have both within-subject and between-subject variabilities. Although a variety of studies have been conducted to infer parameter distributions under the assumption of parameter independence, it is not clear what are the influence of parameter correlation on the system dynamics. In this work we provide computer simulations of nonlinear mixed-effect model with ordinary differential equations. Using a gene network model as the test problem, we examine the influence of parameter correlation on the system dynamics of nonlinear mixed-effect model with normal or nonnormal random effects. Computer simulations show that the increase of positive correlation will elevate the difference between simulations with and without parameter correlation for both normal and gamma random effects. In addition, the increase of negative correlation will enhance the difference between simulations with and without parameter correlation for gamma random effects. However, the increase of negative correlation will decrease the difference between simulations with and without parameter correlation for the normal random effects. Simulation results will provide insights for the inference of parameter distributions under the assumption of parameter correlation.

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Cited By

Yan YZhang XTian T(2023)Simulations of the insulin-like growth factor receptor signaling pathway with randomly sampled parameters2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM58861.2023.10386003(3848-3854)Online publication date: 5-Dec-2023
https://doi.org/10.1109/BIBM58861.2023.10386003

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Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation

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ICCMS '23: Proceedings of the 2023 15th International Conference on Computer Modeling and Simulation

June 2023

293 pages

ISBN:9798400707919

DOI:10.1145/3608251

Copyright © 2023 ACM.

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Published: 17 August 2023

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ICCMS 2023

ICCMS 2023: 2023 The 15th International Conference on Computer Modeling and Simulation

June 16 - 18, 2023

Dalian, China

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Cited By

Yan YZhang XTian T(2023)Simulations of the insulin-like growth factor receptor signaling pathway with randomly sampled parameters2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM58861.2023.10386003(3848-3854)Online publication date: 5-Dec-2023
https://doi.org/10.1109/BIBM58861.2023.10386003

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