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Table 3 The ROC scores of 13 target prediction models

From: Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles

Model

Test ROC score

Model

Test ROC score

ABL1

0.8638

MCL1

0.7567

CSF1R

0.6524

NR1I2

0.8841

EGFR

0.9110

PDGFRB

0.9227

FLT1

0.9207

RET

0.8767

FLT4

0.8997

TOP2A

0.6460

KDR

0.9705

TUBB1

0.7424

KIT

0.9363

  
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BioData Mining

ISSN: 1756-0381