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Table 11 Indel 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

0.986837

0.984444

401

0.991683

0.989605

261

20 × 30x

0.988237

0.989823

308

0.995143

0.993676

156

20 × 60x

0.989732

0.991568

263

0.997114

0.995929

97

30 × 15x

0.992761

0.991059

226

0.996052

0.993458

146

30 × 30x

0.992854

0.993458

192

0.996902

0.995639

104

30 × 60x

0.992244

0.993821

196

0.997958

0.996802

73

40 × 15x

0.995501

0.993312

156

0.996622

0.995202

114

40 × 30x

0.994741

0.994839

146

0.997608

0.996874

77

40 × 60x

0.992944

0.994839

172

0.997258

0.997165

78

50 × 15x

0.995572

0.993967

146

0.997323

0.995202

104

50 × 30x

0.995649

0.995348

126

0.997257

0.996656

85

50 × 60x

0.993425

0.995348

158

0.997890

0.997383

66

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