DVA: predicting the functional impact of single nucleotide missense variants

BMC Bioinformatics

Table 1 Performance of prediction methods using the somatic cancer missense variants

Order	Methods	Accuracy	Precision	Recall	F1-score
1	SIFT	0.587	0.525	0.435	0.468
2	MutationTaster	0.509	0.454	0.743	0.563
3	MutationAssessor	0.575	0.505	0.398	0.441
4	FATHMM-MKL_coding	0.564	0.49	0.442	0.46
5	PROVEAN	0.584	0.514	0.544	0.526
6	MetaSVM	0.579	0.511	0.481	0.49
7	MetaLR	0.57	0.498	0.569	0.529
8	DANN	0.646	0.6	0.517	0.555
9	CADD	0.62	0.578	0.437	0.491
10	MISTIC	0.585	0.539	0.248	0.333
11	REVEL	0.595	0.53	0.484	0.504
12	PrimateAI	0.604	0.553	0.405	0.463
13	ClinPred	0.795	0.811	0.679	0.739
14	M-CAP	0.581	0.512	0.535	0.52
15	DVA	0.94	0.918	0.943	0.93

ISSN: 1471-2105