Model 1 | Parameter distance Dparam | P-value for parameter predictions | Protein distance Dprot | P-value for protein time course predictions | Score | Bayesian | Decompose network" | Selection of data | Sampling |
---|---|---|---|---|---|---|---|---|---|
Orangeballs | 0.0229 | 3.25E-03 | 0.002438361 | 1.21E - 25 | 27.4 | no | yes | Game Tree | Sequential local search |
2 | 0.8404 | 1.00E + 00 | 0.016023721 | 3.39E-18 | 17.5 | no | no | Manual based on parameter uncertainty | Global method |
3 | 0.1592 | 6.00E-01 | 0.035404398 | 4.45E-15 | 14.6 | yes | no | Manual | LH |
4 | 0.0899 | 1.88E-01 | 0.047495432 | 6.28E-14 | 13.9 | no | yes | Manual | LM + Particle Swarm |
5 | 0.1683 | 6.45E-01 | 0.09791128 | 4.01E-11 | 10.6 | yes | no | Train + Sim | UKF |
6 | 0.0453 | 1.37E-02 | 0.198785197 | 1.93E-08 | 9.6 | no | no | A=Criterion | Local (LM) |
7 | 0.1702 | 6.45E-01 | 0.362463945 | 2.90E-06 | 5.7 | no | yes | Sensitivity analysis | Hybrid (Local + Global) |
8 | 0.8128 | 1.00E + 00 | 0.356429217 | 2.53E-06 | 5.6 | yes | no | Estimation of improved uncertainty | Global (MH) |
9 | 0.3766 | 9.99E-01 | 0.817972877 | 1.34E-03 | 2.9 | yes | yes | MI | ABC-SMC |
10 | 0.0699 | 9.83E-02 | 19.32326868 | 1.00E + 00 | 1.0 | no | yes | Minimize variance based on FI | Multistart local search |
11 | 0.1883 | 7.29E-01 | 3.222767988 | 6.90E-01 | 0.3 | no | no | Train + Sim | LH + DE |
12 | 5.0278 | 1.00E + 00 | 14.77443631 | 1.00E + 00 | 0.0 | no | no | Manual | Local method |