A Test of Highly Optimized Tolerance Reveals Fragile Cell-Cycle Mechanisms Are Molecular Targets in Clinical Cancer Trials
Figure 5
Spearman rank correlation as a function of the number of random parameter sets sampled.
The red-dashed line in all cases denotes the cumulative Spearman Rank obtained by sampling all parameter sets for any two methods. A–B: Cumulative Spearman rank versus the number of parameter sets sampled for the G1-S model using the BDF3 and ODE15s methods (A) and Finite Difference (FD) and ODE15s methods (B), respectively. C–D: Cumulative Spearman rank versus the number of parameter sets sampled for the G2-M model using the BDF3 and ODE15s methods (C) and Finite Difference (FD) and ODE15s methods (D), respectively. E–F: Cumulative Spearman rank versus the number of parameter sets sampled for the whole-cycle model using the BDF3 and ODE15s methods (E) and Finite Difference (FD) and ODE15s methods (F), respectively. In all models and numerical methods, the cumulative Spearman rank converges to population value, however, the rate of convergence, i.e., the number of random sets required to be sampled, is different for each model and method.