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Algorithms to calculate the hidden inputs of systems of differential equations. These hidden inputs can be interpreted as a control that tries to minimize the discrepancies between a given model and taken measurements. The idea is also called the Dynamic Elastic Net, as proposed in the paper "Learning (from) the errors of a systems biology model" (Engelhardt, Froelich, Kschischo 2016) doi:10.1038/srep20772. To use the experimental SBML import function, the 'rsbml' package is required. For installation I refer to the official 'rsbml' page:
github.com/Newmi1988/seeds | |
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