Loss formulations for assumption-free neural inference of SDE coefficient functions.
NPJ systems biology and applications
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Hausdorff Center for Mathematics - HCM Room 2.003 Villa Maria, Endenicher Allee 64 53115 Bonn
Our interdisciplinary research unit develops and applies computational methods for the analysis of complex biological processes. We focus on methods facilitating the model-based integration of different datasets, the critical assessment of the availableinformation, the comparison of competing biological hypothesis and the tailored selection of future experiments. Following thephilosophy of Galileo Galilei: "Measure what can be measured, and make measurable what cannot be measured.", we usemodels to reconstruct properties of the system which cannot be assessed experimentally. This results in an improved holisticunderstanding of biological systems. We apply these methods to study cellular signal processing, cell-to-cell variability, and tissueorganisation.
NPJ systems biology and applications
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