DVA: predicting the functional impact of single nucleotide missense variants

BMC Bioinformatics

Table 4 Performance of prediction methods on COSMIC dataset

Order	Methods	Accuracy	Precision	Recall	F1-score
1	SIFT	0.568	0.495	0.537	0.515
2	MutationTaster	0.511	0.454	0.715	0.555
3	MutationAssessor	0.56	0.484	0.459	0.471
4	FATHMM-MKL_coding	0.567	0.491	0.397	0.439
5	PROVEAN	0.583	0.511	0.522	0.517
6	MetaSVM	0.577	0.505	0.473	0.488
7	MetaLR	0.571	0.498	0.527	0.512
8	DANN	0.647	0.603	0.507	0.551
9	CADD	0.617	0.568	0.428	0.488
10	MISTIC	0.569	0.492	0.293	0.367
11	REVEL	0.593	0.526	0.469	0.496
12	PrimateAI	0.603	0.551	0.372	0.444
13	ClinPred	0.793	0.803	0.682	0.737
14	M-CAP	0.58	0.507	0.521	0.514
15	DVA	0.861	0.815	0.873	0.843

ISSN: 1471-2105