A multitask transfer learning framework for the prediction of virus-human protein–protein interactions

BMC Bioinformatics

Table 8 Results for ablation studies

Dataset	Model	AUC	AP	Precision	Recall	F1
H1N1	Naive baseline	0.8310	0.8003	75.92	76.12	76.02
	STT	0.9472	0.9590	85.86	86.09	85.98
	MTT	0.9461	0.9589	86.28	86.51	86.40
Ebola	Naive baseline	0.8876	0.8665	82.12	82.67	82.39
	STT	0.9655	0.9749	90.13	90.73	90.43
	MTT	0.9680	0.9766	90.93	91.53	91.23
Denovo_slim	Naive baseline	0.8843	0.8673	83.80	84.00	83.90
	STT	0.9207	0.9343	84.04	84.24	84.14
	MTT	0.9221	0.9324	83.92	84.12	84.02
Barman ’s	Naive baseline	0.8084	0.8198	73.75	74.11	73.93
	MTT	0.9804	0.9802	93.53	94.05	93.79
	STT	0.9801	0.9802	93.83	94.29	94.06
Bacillus	Naive baseline	0.9842	0.9619	93.75	93.78	93.77
	STT	0.9995	0.9986	97.93	97.96	97.95
	MTT	0.9997	0.9992	98.75	98.78	98.76
Yersina	Naive baseline	0.9741	0.9277	92.61	92.64	92.63
	STT	0.9987	0.9970	97.18	97.30	97.24
	MTT	0.9988	0.9971	97.32	97.34	97.32
Franci	Naive baseline	0.9851	0.9680	94.36	94.43	94.39
	STT	0.9997	0.9993	98.84	98.92	98.88
	MTT	0.9998	0.9996	98.95	99.03	98.99
2697049	Naive baseline	0.5686	0.0010	0	0	0
	STT	0.7457	0.0017	0.07	0.07	0.07
	MTT	0.7566	0.0021	0.97	0.97	0.97
333761	Naive baseline	0.7002	0.0110	3.55	3.56	3.55
	STT	0.8114	0.0213	4.72	4.72	4.72
	MTT	0.8160	0.0262	6.35	6.35	6.35
2043570	Naive baseline	0.6624	0.0076	0.32	0.32	0.32
	STT	0.6706	0.0087	1.11	3.01	1.46
	MTT	0.6956	0.0096	1.89	1.91	1.90
644788	Naive baseline	0.8410	0.0089	1.82	1.85	1.83
	STT	0.9705	0.0459	3.97	9.26	4.65
	MTT	0.9537	0.0302	3.54	22.04	5.46

ISSN: 1471-2105