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Table 9 20-Top candidates of gene–drug pairs predicted from our PGx linked data

From: Learning from biomedical linked data to suggest valid pharmacogenes

Rank Gene Drug p RF p GK
1 MAP3K1 Carboplatin 0.993 0.991
2 EGFR Erlotinib 0.992 0.980
3 EGFR Fluorouracil 0.989 0.966
4 FCER1G Aspirin 0.988 0.993
5 MAP3K1 Erlotinib 0.988 0.830
6 DSCAM Carboplatin 0.979 0.974
7 CHIA Aspirin 0.979 0.911
8 GP6 Aspirin 0.979 0.976
9 ACE Sidenafil 0.979 0.911
10 TPMT Cyclophosphamide 0.975 0.994
11 CYP2B6 Nicotine 0.973 0.912
12 PTGER3 Aspirin 0.967 0.965
13 NTRK1 Aspirin 0.967 0.992
14 EXO1 Fluorouracil 0.966 0.694
15 ERBB2 Trastuzumab 0.964 0.998
16 CYP2B6 Olanzapine 0.964 0.965
17 HLA-DQ1 Azathioprine 0.963 0.931
18 HMGCR Simvastatin 0.963 0.996
19 CYBA Simvastatin 0.961 0.973
20 HLA-DRB1 Mercaptopurine 0.961 0.966