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Bayesian discovery of mechanics and signaling during collective cell migration

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MMVW03 - Measures and Representations of Interactions

Collective cell migration results from a complex interplay of cell-cell interactions and whole-tissue mechanics. Experimental data enables Bayesian inference to identify the role of mechanics and cell-cell interactions. While mathematical models can be identified with sufficiently detailed data, the relationship between observation noise and uncertainty in the learned models remains unexplored. We explore how to combine data sets to quantify uncertainty, and draw mechanistic conclusions about the underlying biophysical process in morphogenesis and cancer invasion. 

This talk is part of the Isaac Newton Institute Seminar Series series.

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