Skip to main content

Table 4 Influence of parameters gc

From: Detecting overlapping protein complexes in weighted PPI network based on overlay network chain in quotient space

Dataset

gc

Precision

Recall

F-measure

PC

Perfect

AS

DIP

0.1

0.4199

0.7108

0.5279

874

62

5.18

0.2

0.4011

0.7206

0.5153

945

60

4.79

0.3

0.3571

0.7402

0.4818

1095

69

3.70

0.4

0.3561

0.8260

0.4976

1640

103

2.67

0.5

0.3521

0.8284

0.4942

1667

104

2.60

0.6

0.3470

0.8211

0.4878

1781

105

2.53

0.7

0.3499

0.8186

0.4902

1832

103

2.54

0.8

0.3530

0.8186

0.4933

1844

102

2.56

0.9

0.3530

0.8186

0.4933

1844

102

2.56

Gavin

0.1

0.6581

0.4167

0.5103

310

38

7.99

0.2

0.6085

0.4265

0.5015

355

39

6.63

0.3

0.5630

0.4363

0.4916

405

41

5.13

0.4

0.5124

0.4510

0.4797

525

49

3.98

0.5

0.4973

0.4534

0.4743

553

50

3.73

0.6

0.4879

0.4461

0.4661

621

50

3.46

0.7

0.4910

0.4436

0.4661

664

46

3.43

0.8

0.4927

0.4436

0.4669

684

46

3.47

0.9

0.4949

0.4436

0.4679

687

46

3.49

Krogan

0.1

0.5856

0.5956

0.5906

473

68

4.51

0.2

0.5658

0.5980

0.5815

509

67

4.27

0.3

0.5401

0.5980

0.5676

561

68

3.60

0.4

0.4888

0.6422

0.5551

759

80

2.86

0.5

0.2728

0.7230

0.3962

780

81

2.82

0.6

0.3095

0.7230

0.4335

835

83

2.77

0.7

0.2984

0.7230

0.4225

858

78

2.76

0.8

0.3090

0.6005

0.4080

868

79

2.79

0.9

0.4989

0.6471

0.5634

870

79

2.81

MIPS

0.1

0.3784

0.5735

0.4559

703

46

3.95

0.2

0.3689

0.5760

0.4498

721

47

3.78

0.3

0.3375

0.5980

0.4315

803

54

3.10

0.4

0.3231

0.6765

0.4373

1173

72

2.33

0.5

0.3238

0.6765

0.4379

1186

71

2.32

0.6

0.3288

0.6691

0.4409

1244

69

2.31

0.7

0.3299

0.6642

0.4408

1255

67

2.32

0.8

0.3315

0.6642

0.4423

1258

67

2.32

0.9

0.3315

0.6642

0.4423

1258

67

2.33