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Table 2 GO consistency and coverage comparison on DIPPPIs dataset

From: ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks

PPI networks

measure

MaWISh

AlignMCL

NB-M

CM1

CM10

CM100

SceDIP+HsaDIP

MNE

5.274

3.766

6.110

4.195

4.224

3.912

 

Coverage

1013

1379

814

2533

2406

942

SceDIP+DmeDIP

MNE

3.149

2.434

3.383

2.300

2.286

2.204

 

Coverage

1327

1945

1242

3496

3400

1395

SceDIP+CelDIP

MNE

3.105

2.476

3.490

2.344

2.339

2.134

 

Coverage

383

809

488

1140

1099

353

HsaDIP+DmeDIP

MNE

5.823

4.976

6.252

4.753

4.734

4.757

 

Coverage

1076

2909

1538

4239

3952

904

HsaDIP+CelDIP

MNE

6.972

5.359

6.483

4.937

4.978

4.724

 

Coverage

260

1202

554

1656

1542

349

DmeDIP+CelDIP

MNE

3.366

2.599

3.317

2.246

2.232

2.123

 

Coverage

522

1706

1044

1988

1928

403

SceDIP+HsaDIP+DmeDIP

MNE

  

6.168

4.470

4.444

4.614

 

Coverage

  

1895

3628

3410

1525

SceDIP+HsaDIP+CelDIP

MNE

  

6.425

4.572

4.611

4.720

 

Coverage

  

886

2415

2232

814

SceDIP+DmeDIP+CelDIP

MNE

  

3.746

2.554

2.563

2.414

 

Coverage

  

1162

2736

2659

1200

HasDIP+DmeDIP+CelDIP

MNE

  

6.616

4.527

4.542

4.136

 

Coverage

  

1610

2762

2516

697

SceDIP+HsaDIP+DmeDIP+CelDIP

MNE

  

5.981

4.305

4.339

4.149

 

Coverage

  

1351

2049

1871

599

  1. Abbreviations: CM1 = ClusterM(λ=1), CM10 = ClusterM(λ=10), CM100 = ClusterM(λ=100), NME = Mean Normalized Entropy, NB-M = NetworkBLAST-M
  2. Bold values denote the best scores corresponding to specific criteria
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BMC Genomics

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