Table 2. Optimal parameters and average predictive performance in terms of AUC and AUC01 for the two combined prediction methods including only one proximity measure.
| Method | KL+pMI | KL+pC |
| Parameters | wMI = 0.8±0.0 | wC = 0.6±0.0 |
| DMI = 7.9±0.2 | DC = 8.0±0.0 | |
| Zthr = 5.5±0.32 | ||
| AUC | 0.922 | 0.910 |
| AUC01 | 0.574 | 0.562 |
KL+pMI is the method combining KL conservation with the pMI mutual information measure. KL+pC is the method combining KL conservation with the pC conservation measure. wMI is the relative weight on pMI, DMI is the proximity distance threshold for the pMI measure, Zthr is the MI Z-score threshold, wC is the relative weight on pC, and DC is the proximity distance threshold for the pC measure. Parameters and standard deviations were identified using five-fold cross validation as described in Materials and Methods.