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Table 3 Benchmark results using both the PPI network and the total GO annotation with respect to the CYC2008 gold standard

From: Detecting overlapping protein complexes based on a generative model with functional and topological properties

Network

Algorithm

GO sim

Coverage

# Complexes

FRAC

MMR

ACC

PR

Collins

GMFTP

–

1085

188

0.890

0.659

0.788

0.651

  

Jiang

1210

169

0.868

0.575

0.784

0.579

 

ClusterONE

Kappa

1130

161

0.840

0.573

0.770

0.597

  

Lin

1255

172

0.854

0.561

0.784

0.613

Gavin

GMFTP

–

1122

208

0.877

0.594

0.768

0.577

  

Jiang

1298

224

0.833

0.549

0.768

0.496

 

ClusterONE

Kappa

1218

217

0.783

0.511

0.760

0.485

  

Lin

1461

253

0.804

0.514

0.757

0.449

Krogan core

GMFTP

–

1218

252

0.805

0.573

0.768

0.649

  

Jiang

1516

341

0.847

0.540

0.756

0.445

 

ClusterONE

Kappa

1322

319

0.810

0.522

0.736

0.470

  

Lin

1813

464

0.841

0.517

0.766

0.379

Krogan extended

GMFTP

–

1062

216

0.696

0.487

0.745

0.601

  

Jiang

2021

503

0.724

0.435

0.745

0.342

 

ClusterONE

Kappa

1722

482

0.680

0.410

0.733

0.344

  

Lin

2458

752

0.713

0.425

0.730

0.281

DIP

GMFTP

–

1492

306

0.705

0.430

0.704

0.474

  

Jiang

2910

733

0.741

0.406

0.714

0.299

 

ClusterONE

Kappa

2487

748

0.679

0.398

0.682

0.308

  

Lin

3285

921

0.701

0.359

0.700

0.248

BioGRID

GMFTP

–

2283

413

0.750

0.474

0.754

0.448

  

Jiang

3789

881

0.665

0.377

0.759

0.260

 

ClusterONE

Kappa

3303

889

0.691

0.398

0.717

0.283

  

Lin

4208

1073

0.602

0.334

0.755

0.227