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Table 2 Benchmark results for the individual callings and the in silico validation dataset

From: isoCNV: in silico optimization of copy number variant detection from targeted or exome sequencing data

Dataset

Method

TP

TN

FP

FN

Total

Sensitivity

Specificity

PPV

NPV

F-score

ICR96

DECoN

247

27,330

60

49

27,686

0.8345

0.9978

0.8046

0.9982

0.8192

CNVkit

205

27,225

91

165

27,686

0.5541

0.9967

0.6827

0.9940

0.6156

panelcn.MOPS

278

27,061

18

329

27,686

0.4580

0.9993

0.9392

0.9880

0.6157

In silico validation

58

27,390

0

238

27,686

0.1959

1

1

0.9914

0.3277

NimbleGen

DECoN

220

7236

43

1138

8637

0.1620

0.9941

0.8365

0.8641

0.2714

CNVkit

777

7274

582

4

8637

0.9949

0.9259

0.5717

0.9995

0.7262

panelcn.MOPS

736

6891

619

391

8637

0.6531

0.9176

0.5432

0.9463

0.5931

In silico validation

30

7278

0

1329

8637

0.0220

1

1

0.8456

0.0432