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Table 1 Performance comparison results on HPRD and DIP datasets

From: Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks

Methods

No. of complexes

Precision

Recall

F-score

HPRD

 ClusterONE

789

0.2307

0.1724

0.1973

 MCODE

102

0.2059

0.0258

0.0458

 MCL

1291

0.1255

0.1704

0.1445

 CMC

44

0.3636

0.0178

0.0340

 Coach

1762

0.2469

0.3890

0.3021

 ProRank+

500

0.2820

0.1625

0.2062

 PEWCC

1194

0.2739

0.2299

0.2499

 SLPC only

2713

0.3693

0.4901

0.4212

 d=32

858

0.7005

0.3785

0.4914

 d=64

871

0.7107

0.3983

0.5105

 d=128

841

0.7099

0.3890

0.5026

 d=256

882

0.6961

0.3877

0.4980

 d=512

823

0.7096

0.3831

0.4976

 d=1024

867

0.7105

0.3970

0.5093

DIP

 ClusterONE

363

0.5069

0.4012

0.4479

 MCODE

82

0.0244

0.0030

0.0053

 MCL

436

0.3463

0.3952

0.3692

 CMC

262

0.4389

0.2912

0.3501

 Coach

747

0.4351

0.5156

0.4719

 ProRank+

167

0.4731

0.1516

0.2296

 PEWCC

666

0.5916

0.3744

0.4586

 SLPC only

1061

0.6447

0.4829

0.5522

 d=32

719

0.8108

0.4428

0.5728

 d=64

710

0.8070

0.4473

0.5755

 d=128

702

0.8148

0.4368

0.5688

 d=256

708

0.8263

0.4413

0.5753

 d=512

711

0.8158

0.4413

0.5728

 d=1024

691

0.8249

0.4354

0.5699

  1. d denotes the dimension of each vector. No. of complexes denotes the total number of predicted complexes by each method. Bold value denotes the best score corresponding to F-score