Table 4.
Hub prediction comparison of the classifier and the hypothetical PINs in MRSA252.
| Hub classifier | |||||||
| observed | predicted non-hub | predicted hub | sensitivity | specificity | accuracy | PPV | NPV |
| non-hub | 109 | 11 | 30.77% | 90.83% | 84.96% | 26.67% | 92.37% |
| hub | 9 | 4 | |||||
| Hypothetical PIN – pathway maps | |||||||
| observed | predicted non-hub | predicted hub | sensitivity | specificity | accuracy | PPV | NPV |
| non-hub | 111 | 9 | 0.00% | 92.50% | 83.46% | 0.00% | 89.52% |
| hub | 13 | 0 | |||||
| Hypothetical PIN – orthologous interactions | |||||||
| observed | predicted non-hub | predicted hub | sensitivity | specificity | accuracy | PPV | NPV |
| non-hub | 110 | 10 | 23.08% | 91.67% | 84.96% | 23.08% | 91.67% |
| hub | 10 | 3 | |||||
| Hypothetical PIN – interacting domains | |||||||
| observed | predicted non-hub | predicted hub | sensitivity | specificity | accuracy | PPV | NPV |
| non-hub | 117 | 3 | 0.00% | 97.50% | 87.97% | 0.00% | 90.00% |
| hub | 13 | 0 | |||||
| Combined hypothetical PIN – (pathway maps + orthologous interactions) | |||||||
| observed | predicted non-hub | predicted hub | sensitivity | specificity | accuracy | PPV | NPV |
| non-hub | 110 | 10 | 23.08% | 91.67% | 84.96% | 23.08% | 91.67% |
| hub | 10 | 3 | |||||
| Combined hypothetical PIN – (pathway maps + orthologous interactions + interacting domains) | |||||||
| observed | predicted non-hub | predicted hub | sensitivity | specificity | accuracy | PPV | NPV |
| non-hub | 108 | 12 | 7.69% | 90.00% | 81.95% | 7.69% | 90.00% |
| hub | 12 | 1 | |||||
The prediction performance of the hub classifier is compared to that of the hypothetical PINs in MRSA252. The classification statistics is reported.