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Table 2 Comparison of protein complex prediction by SGD reference dataset

From: Finding low-conductance sets with dense interactions (FLCD) for better protein complex prediction

Network

Method

# complex

#. matched

coverage

Recall

Precision

F-measure

Sn

PPV

Acc

MMR

SceDIP

FLCD

2134

152

3921

0.6786

0.2020

0.3113

0.5964

0.5003

0.5462

0.3685

 

CONE

380

86

1503

0.3839

0.2579

0.3085

0.4082

0.6203

0.5032

0.1950

 

LinkC

1839

137

3735

0.6116

0.1289

0.2130

0.6290

0.4820

0.5506

0.3276

 

SR-MCL

3216

44

4678

0.2228

0.0221

0.0412

0.5120

0.2893

0.3489

0.0708

SceBG

FLCD

4027

183

5836

0.7821

0.2000

0.3181

0.7363

0.5621

0.6433

0.4920

 

CONE

522

122

2735

0.5214

0.2433

0.3318

0.6488

0.6035

0.6257

0.2542

 

LinkC

5382

164

6076

0.7008

0.1217

0.2072

0.8880

0.4373

0.6231

0.4100

 

SR-MCL

1862

108

5889

0.4615

0.1245

0.1961

0.8999

0.3034

0.5225

0.2151

SceIntAct

FLCD

3394

172

4678

0.7446

0.1933

0.3069

0.6699

0.5391

0.6009

0.4661

 

CONE

496

117

1994

0.5065

0.2419

0.3275

0.5742

0.5944

0.5842

0.2742

 

LinkC

1297

93

5290

0.4026

0.0941

0.1525

0.9223

0.2393

0.4698

0.2285

 

SR-MCL

1079

68

5342

0.2294

0.0437

0.1517

0.7784

0.2402

0.4341

0.1213

SceMINT

FLCD

2483

157

4210

0.6826

0.2280

0.3418

0.6524

0.5284

0.5871

0.4163

 

CONE

513

110

2335

0.4783

0.2027

0.2848

0.5370

0.5954

0.5654

0.2442

 

LinkC

2201

144

4068

0.6261

0.1595

0.2542

0.6757

0.5540

0.6119

0.3743

 

SR-MCL

3698

33

4976

0.1435

0.0169

0.0302

0.5013

0.2597

0.3608

0.0609

  1. CONE and LinkC are short for ClusterONE and LinkComm, respectively
  2. Bold values denote the best scores corresponding to specific criteria