Parameter Estimation
The MLC phosphorylation case supports that the SMC objective can generalize beyond calibration data. A candidate parameter vector defines uncertainty intervals around unknown parameters that are combined with initial concentration interval…
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The MLC phosphorylation case supports that the SMC objective can generalize beyond calibration data. A candidate parameter vector defines uncertainty intervals around unknown parameters that are combined with initial concentration intervals. Parameter estimation encodes quantitative experimental data and qualitative trends as BLTL formulas. The framework uses SRES to search parameter space, but it is not tied to that optimizer. The objective rewards qualitative properties and the normalized fraction of matched data points without requiring exact fit to every observation.