Fig. 5
From: Using both qualitative and quantitative data in parameter identification for systems biology models
Profile likelihood uncertainty quantification. We calculated profile likelihood for selected parameters in the yeast model: a ks_spn, b ESP1T, c kdp_i5, d ki_m1. For each parameter, we compare the profiles generated from only quantitative data (blue circles), only qualitative data (orange squares), or both datasets combined (purple triangles). Sampling of the profiles was coarse due to the computational cost of fitting. At each point shown, we performed five replicates of the optimization and took the best result. Each profile was normalized to zero by subtracting the minimum value. The vertical, red lines indicate our best-fit value for each parameter
