Data-Driven Model Validation Across Dimensions.
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ABSTRACT:
SUBMITTER: Renardy M
PROVIDER: S-EPMC6494696 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Publications
Data-Driven Model Validation Across Dimensions.
Renardy Marissa M Wessler Timothy T Blemker Silvia S Linderman Jennifer J Peirce Shayn S Kirschner Denise D
Bulletin of mathematical biology 20190304 6
Data-driven model validation across dimensions in mathematical and computational biology assumptions are often made (e.g., symmetry) to reduce the problem from three spatial dimensions (3D) to two (2D). However, some experimental datasets, such as cell counts obtained via flow cytometry, represent the entire 3D biological object. For purpose of model calibration and validation, it is sometimes necessary to compare these biological datasets with model outputs. We propose a methodology for scaling ...[more]
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