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Article

Deep learning approach to parameter optimization for physiological models

2025-02-28

Abstract excerpt

The inference of nonlinear dynamics and parameters in biological data modeling is challenging. Conventional methodologies, based on hypothetical underlying mechanisms, complicate inference because standard parameter optimization methods are difficult to constrain to biological ranges. Here, we propose a novel method to evaluate and improve putative models using neural networks to simultaneously address biological...

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Literature Corpus work
a6d8f449-a4aa-5613-a75e-6e93e10f44bb
DOI
10.1101/2025.02.25.639944
Open publication

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Deep learning approach to parameter optimization for physiological modelsDOI 10.1101/2025.02.25.639944
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