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Sensitivity analysis for stochastic and deterministic models of nascent focal adhesion dynamics

Sensitivity analysis for stochastic and deterministic models of nascent focal adhesion dynamics
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摘要 Sensitivity analysis (SA) is a critical part of modeling any biological system due to the inherent uncertainty in model output, as introduced by parameter values that have not been experimentally determined. SA therefore provides deeper understanding of the system by painting a picture of the extent to which certain model outputs vary in rela- tionship to changes in model parameters. Here we explore two types of global SA for recently developed models of nascent focal adhesion formation, a key step in cellular movement. While many SA methods have been used for deterministic methods, we uti- lize methods for both stochastic and deterministic models, providing a more complete description of the parameters to which the focal adhesion model is most sensitive. Spe- cific recommendations for further experimentation in the process of cellular motility are proposed in response to the SA.
出处 《International Journal of Biomathematics》 2017年第7期237-265,共29页 生物数学学报(英文版)
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