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Significance Cells are the basic units of life, yet their architecture and function remain to be fully characterized. This work describes Bayesian metamodeling, a modeling approach that divides and conquers a large problem of modeling numerous aspects of the cell into computing a number of smaller models of different types, followed by assembling these models into a complete map of the cell. Metamodeling enables a facile collaboration of multiple research groups and communities, thus maximizing the sharing of expertise, resources, data, and models. A proof of principle is provided by a model of glucose-stimulated insulin secretion produced by the Pancreatic β-Cell Consortium.

Bayesian metamodeling of complex biological systems across varying representations