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Table 7 Performance comparison between the Equal Weight (EW) and Regression models (RM)

From: Predicting protein complex in protein interaction network - a supervised learning based method

merg_

thred

model

Num

Ncp

P

Ncb

R

F

Sn

PPV

Acc

0.1

EW

167

94

0.5629

182

0.2725

0.3672

0.6075

0.6550

0.6308

 

RM

212

144

0.6792

274

0.4102

0.5115

0.3473

0.7849

0.5221

0.2

EW

227

109

0.4802

217

0.3249

0.3875

0.6092

0.6635

0.6358

 

RM

286

184

0.6434

317

0.4746

0.5462

0.4054

0.7749

0.5605

0.3

EW

289

127

0.4394

234

0.3503

0.3898

0.6190

0.6329

0.6259

 

RM

333

206

0.6186

327

0.4895

0.5465

0.4242

0.7713

0.5720

0.4

EW

336

151

0.4494

254

0.3802

0.4119

0.6256

0.6393

0.6324

 

RM

388

242

0.6237

339

0.5075

0.5596

0.4466

0.7557

0.5809

0.5

EW

405

188

0.4642

269

0.4027

0.4313

0.6229

0.6387

0.6307

 

RM

491

308

0.6273

350

0.5240

0.5710

0.4649

0.7317

0.5832

0.6

EW

475

221

0.4653

279

0.4177

0.4402

0.6197

0.6328

0.6262

 

RM

624

393

0.6298

353

0.5284

0.5747

0.4779

0.7335

0.5920

0.7

EW

568

261

0.4595

285

0.4266

0.4425

0.6201

0.6353

0.6277

 

RM

755

493

0.6530

359

0.5374

0.5896

0.4908

0.7370

0.6014

0.8

EW

674

298

0.4421

288

0.4311

0.4366

0.6203

0.6362

0.6282

 

RM

880

570

0.6477

363

0.5434

0.5910

0.4938

0.7363

0.6030

0.9

EW

819

348

0.4249

288

0.4311

0.4280

0.6195

0.6395

0.6294

 

RM

945

584

0.6180

363

0.5434

0.5783

0.4942

0.7350

0.6027

  1. Ncp denotes the number of the correct predictions that match at least a true complex and Ncb denotes the number of the true complexes that match at least one predicted complex.