From: Machine learning-based approaches for ubiquitination site prediction in human proteins
Window size | Feature | Method | ||||
---|---|---|---|---|---|---|
KNN | XGBoost | RF | SVM | DNN | ||
9 | PSSM | 0.441 | 0.451 | 0.439 | 0.450 | 0.520 |
AAC | 0.507 | 0.437 | 0.435 | 0.416 | 0.489 | |
DPC | 0.491 | 0.435 | 0.435 | 0.506 | 0.518 | |
Physicochemical | 0.422 | 0.460 | 0.429 | 0.46 | 0.516 | |
15 | PSSM | 0.454 | 0.468 | 0.440 | 0.441 | 0.526 |
AAC | 0.446 | 0.462 | 0.452 | 0.435 | 0.503 | |
DPC | 0.458 | 0.462 | 0.452 | 0.508 | 0.523 | |
Physicochemical | 0.423 | 0.466 | 0.430 | 0.467 | 0.533 | |
21 | PSSM | 0.440 | 0.452 | 0.440 | 0.419 | 0.523 |
AAC | 0.447 | 0.450 | 0.459 | 0.441 | 0.500 | |
DPC | 0.438 | 0.457 | 0.450 | 0.488 | 0.523 | |
Physicochemical | 0.425 | 0.462 | 0.431 | 0.445 | 0.537 |