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

Abstract

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 relationship 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 utilize methods for both stochastic and deterministic models, providing a more complete description of the parameters to which the focal adhesion model is most sensitive. Specific recommendations for further experimentation in the process of cellular motility are proposed in response to the SA.