Table 3.
Comparison of prediction performance for DITL-KRR approach with Mapped Prediction (MP) and Direct Prediction (DP) approaches for 4 common drugs
| Drug | Number of features | Pearson Correlation | NRMSE | ||||
|---|---|---|---|---|---|---|---|
| MP | DP | DITL-KRR | MP | DP | DITL-KRR | ||
| 17-AAG | 47 | 0.6319 | 0.4749 | -0.2885 | 0.1942 | 0.2167 | 0.4056 |
| AZD6244 | 49 | 0.4407 | 0.4016 | -0.1468 | 0.1554 | 0.1570 | 0.2042 |
| Nilotinib | 35 | 0.9338 | 0.4674 | -0.1701 | 0.1003 | 0.1257 | 0.1410 |
| Nutlin-3 | 48 | 0.5921 | 0.5207 | -0.1500 | 0.1881 | 0.1903 | 0.2697 |
Here, intersection of top 50 genes is taken as the feature set. Bold values indicate the best performance