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Table 4 Enhancing above various thresholds on PlaneDimers , where PresCont ’s threshold was chosen such that the specificity approximately equals that of enhancing

From: CRF-based models of protein surfaces improve protein-protein interaction site predictions

 

tp

tn

fp

fn

Spec.

Sen.

MCC

 

Enhancing above 0.500

2181

23182

4145

1414

0.848

0.607

0.362

 

PresCont

2100

23197

4130

1495

0.849

0.584

0.346

 

Enhancing above 0.525

2303

22917

4410

1292

0.839

0.641

0.373

 

PresCont

2206

22912

4415

1389

0.838

0.614

0.353

 

Enhancing above 0.550

2507

22103

5224

1088

0.809

0.697

0.375

 

PresCont

2419

22102

5225

1176

0.809

0.673

0.358

 

Enhancing above 0.575

2560

21992

5335

1035

0.805

0.712

0.380

 

PresCont

2463

21915

5412

1132

0.802

0.685

0.358

 

Enhancing above 0.600

2379

22685

4642

1216

0.830

0.662

0.376

 

PresCont

2253

22780

4547

1342

0.834

0.627

0.356

 

Enhancing above 0.625

2287

23044

4283

1308

0.843

0.636

0.376

 

PresCont

2136

23049

4278

1459

0.843

0.594

0.346

 
  1. The sensitivity increased that way by 4%-7%. For every pair of experiments, the number of true negatives (tn), false negatives (fn), false positives (fp) and true positives (tp) are displayed.