Table 7 Comparison of methods using O’Neil’s high-throughput drug combination screening data
From: Prediction of synergistic drug combinations using PCA-initialized deep learning
Method | MSE | RMSE | Pearson’s r |
|---|---|---|---|
PCA + Deep learning | 241.20 ± 43.50 | 15.46 ± 1.44 | 0.76 ± 0.03 |
Deep learning | 255.50 ± 49.54 | 15.91 ± 1.56 | 0.74 ± 0.04 |
PCA + Random Forests | 319.80 ± 50.62 | 17.88 ± 1.31 | 0.55 ± 0.03 |
PCA + XGBoost | 341.86 ± 49.71 | 18.49 ± 1.42 | 0.46 ± 0.02 |
PCA + Elastic net | 362.48 ± 52.18 | 19.04 ± 1.38 | 0.41 ± 0.02 |