Quantitative dynamic models are widely used to study cellular signal processing. A critical step in modelling is the estimation of unknown model parameters from experimental data. As model sizes and ...
Inspired by the well-known mathematical statements on the continuous dependence of solutions to ordinary differential equations on initial values and parameters, we make a non-trivial extension of the ...
This course gives an introduction to how to create genetic circuit models. These models leverage chemical reactions represented using the Systems Biology Markup Language (SBML). The second module ...
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