BMC Bioinformatics

Table 12 SNV results for HG003 chr21-22, Hybrid

From: HELLO: improved neural network architectures and methodologies for small variant calling

	DeepVariant			HELLO
	Precision	Recall	Errors	Precision	Recall	Errors
20 × 15x	0.998487	0.997302	362	0.998581	0.997442	342
20 × 30x	0.998732	0.997512	323	0.998779	0.997802	294
20 × 60x	0.998709	0.997639	314	0.999221	0.998035	236
30 × 15x	0.998894	0.997407	318	0.998860	0.997570	307
30 × 30x	0.999104	0.997802	266	0.998907	0.997837	280
30 × 60x	0.999011	0.997791	275	0.999221	0.998058	234
40 × 15x	0.998929	0.997372	318	0.998953	0.997523	303
40 × 30x	0.998976	0.997651	290	0.998977	0.997826	275
40 × 60x	0.998953	0.997733	285	0.999244	0.998023	235
50 × 15x	0.999011	0.997349	313	0.999023	0.997500	299
50 × 30x	0.999057	0.997826	268	0.999128	0.997860	259
50 × 60x	0.998860	0.997826	285	0.999302	0.998093	224

Values in bold indicate the best operating point for each tool for the corresponding metric

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