Impact of Nondimensionalization on Sensitivity Analysis in EMT Modeling
Author Information
Author(s): Gasior Kelsey I.
Primary Institution: Department of Applied and Computational Mathematics and Statistics, University of Notre Dame
Hypothesis
How does nondimensionalization affect the results of sensitivity analysis in modeling the epithelial mesenchymal transition?
Conclusion
Nondimensionalization can obscure important parameters and alter sensitivity analysis results, potentially leading to missteps in future experiments.
Supporting Evidence
- Nondimensionalization can obscure or exclude important parameters from analysis.
- Different nondimensionalization choices can lead to different conclusions about parameter importance.
- Performing sensitivity analysis on the original model provides clearer insights into parameter impacts.
Takeaway
This study shows that changing the way we simplify mathematical models can change the results we get, which is important for understanding how cells change in cancer.
Methodology
The study used Latin Hypercube Sampling and Partial Rank Correlation Coefficient to analyze the sensitivity of a mathematical model of the epithelial mesenchymal transition under different nondimensionalizations.
Potential Biases
Potential biases arise from the selection of nondimensionalization methods that may obscure important parameters.
Limitations
The analysis may not capture all relevant parameters due to the choices made in nondimensionalization.
Digital Object Identifier (DOI)
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