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Table 3 Comparison of prediction performance for DITL-KRR approach with Mapped Prediction (MP) and Direct Prediction (DP) approaches for 4 common drugs

From: Application of transfer learning for cancer drug sensitivity prediction

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

  1. Here, intersection of top 50 genes is taken as the feature set. Bold values indicate the best performance