Table 5.
Accuracy of causal orientation
| Method | ECOLI | YEAST | NOTCH1 | RELA |
|---|---|---|---|---|
| ANM | 0.462 | 0.383 | 0.476 | 0.396 |
| PNL | 0.453 | 0.471 | 0.521 | 0.520 |
| IGCI (Uniform/Entropy) | 0.647 | 0.427 | 0.611 | 0.692 |
| IGCI (Uniform/Integral) | 0.605 | 0.441 | 0.561 | 0.669 |
| IGCI (Gaussian/Entropy) | 0.742 | 0.555 | 0.848 | 0.898 |
| IGCI (Gaussian/Integral) | 0.645 | 0.587 | 0.729 | 0.835 |
| GPI-MML | 0.485 | 0.390 | 0.251 | 0.395 |
| ANM-MML | 0.428 | 0.316 | 0.183 | 0.172 |
| GPI | 0.526 | 0.401 | 0.548 | 0.506 |
| ANM-GAUSS | 0.480 | 0.483 | 0.727 | 0.462 |
| LINGAM | 0.469 | 0.451 | 0.367 | 0.387 |
| RANDOM | 0.500 | 0.500 | 0.500 | 0.500 |
For each gold standard (column) dark orange cells correspond to methods that have high values of accuracy, while white cells correspond to methods that have low values of accuracy. Accuracies higher than 0.50 are shown in bold.