Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models

BMC Systems Biology

Table 2 Error analysis for the human coagulation model

The coagulation model was trained on coagulation initiated with TF/FVIIa at 5 nM and the 5 pM to obtain the optimal parameters. Using these optimal parameters, coagulation dynamics were predicted for varying initiator concentrations (500 pM, 50 pM and 10 pM). Model agreement with measurements was quantified using normalized squared error. The normalized squared error is defined as N.S.E.=(1/max(X))∗(∥(Y,X)∥/sqrt(N)) where X is the experimental data, Y is the model simulation data interpolated onto the experimental time scale and N is the total number of experimental time points

ISSN: 1752-0509