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Table 3 Comparison of experimental results on DIP and HPRD data sets

From: A supervised protein complex prediction method with network representation learning and gene ontology knowledge

Dataset

Method

Number

Precision

Recall

F-score

DIP

MCODE

72

0.5138

0.1010

0.1689

COACH

747

0.4310

0.4685

0.4490

CMC

709

0.3004

0.4631

0.3644

ClusterONE

363

0.5041

0.3661

0.4241

GANE

326

0.6012

0.4303

0.5016

EWCA

1028

0.5642

0.4767

0.5168

SLPC

766

0.6057

0.4631

0.5249

SVCC only

946

0.5898

0.4699

0.5231

Our

514

0.7684

0.4330

0.5539

HPRD

COACH

1914

0.3322

0.5805

0.4226

CMC

2399

0.3384

0.7741

0.4710

ClusterONE

875

0.3942

0.3348

0.3621

GANE

755

0.3668

0.3124

0.3374

EWCA

1915

0.4976

0.5832

0.5370

SLPC

2431

0.4452

0.6901

0.5412

MCODE

137

0.5182

0.1050

0.1746

SVCC only

2649

0.3812

0.8243

0.5213

Our

1252

0.5559

0.7186

0.6268

  1. The highest F-score is in bold