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Table 3 Cross Validation Result on Benchmark Datasets (Sn, Sp and ACC:%; TP: true positive, FN: false negative, FP: false positive, TN: true negative)

From: Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features

Datasets

Methods

Sn

Sp

ACC

MCC

TP

FN

FP

TN

 

iDNA4mC

79.7

77.5

78.6

0.572

1328

316

349

1205

C.elegans

4mCPred

82.5

82.6

82.6

0.652

1282

272

270

1284

 

4mCPred_SVM

82.4

80.7

81.5

0.631

1280

274

300

1254

 

this study

84.9

80.4

82.6

0.653

1319

235

305

1249

 

iDNA4mC

83.3

79.1

81.2

0.625

1474

295

369

1400

D.melanogaster

4mCPred

82.4

82.1

82.2

0.646

1458

311

317

1452

 

4mCPred_SVM

83.8

82.2

83.0

0.661

1483

286

314

1455

 

this study

85.4

83.2

84.3

0.686

1510

259

297

1472

 

iDNA4mC

75.7

76.2

76.0

0.519

1498

480

471

1507

A.thaliana

4mCPred

75.5

78.0

76.8

0.536

1494

484

435

1543

 

4mCPred_SVM

77.8

79.6

78.7

0.573

1538

440

404

1574

 

this study

78.3

80.5

79.4

0.589

1549

429

385

1593

 

iDNA4mC

82.0

77.8

79.9

0.598

318

70

86

302

E.coli

4mCPred

81.9

83.2

82.6

0.655

318

70

65

302

 

4mCPred_SVM

85.8

80.7

83.3

0.666

333

51

67

321

 

this study

86.1

82.5

84.3

0.686

334

54

68

320

 

iDNA4mC

82.2

80.8

81.5

0.630

745

161

174

732

G.subterraneus

4mCPred

81.8

83.7

82.8

0.662

742

164

148

758

 

4mCPred_SVM

84.0

83.4

83.7

0.674

760

145

150

755

 

this study

83.6

85.7

84.7

0.694

757

148

129

776

 

iDNA4mC

82.4

83.8

83.1

0.663

469

100

92

477

G.pickeringii

4mCPred

85.0

81.0

83.0

0.668

484

85

108

461

 

4mCPred_SVM

86.3

85.8

86.0

0.721

491

78

81

488

 

this study

86.3

89.1

87.7

0.754

491

78

62

507