Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modelling

Predictions for physical systems often rely upon knowledge acquired from ensembles of entities, e.g. ensembles of cells in biological sciences. For qualitative and quantitative analysis, these ensembles are simulated with parametric families of mechanistic models (MMs). Two classes of methodologies,...

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Bibliographic Details
Main Authors: Timothy Rumbell, Jaimit Parikh, James Kozloski, Viatcheslav Gurev
Format: Article
Language:English
Published: The Royal Society 2023-11-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.230668