Learning from biomedical linked data to suggest valid pharmacogenes

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

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

ISSN: 2041-1480