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Table 2 F1, MCC, TPr, TNr, PRC using the full set of features ( α ) or only the features selected ( β ) in Table 1

From: Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor

 

LR

 

AT

 

Full set

NI1

Full set

NI1

 
 

α

β

 

α

β

 

α

β

 

α

β

 

MCC

0.1247

0.1304

*

0.1684

0.188

***

0.1376

0.1418

 

0.1859

0.2012

***

TPr

0.6462

0.6497

 

0.6449

0.6597

*

0.7064

0.7615

***

0.7958

0.8047

 

TNr

0.5386

0.5435

**

0.5435

0.5519

 

0.4915

0.4428

 

0.4049

0.4149

***

PRC

0.2082

0.2108

*

0.3445

0.3543

***

0.2092

0.2053

 

0.3328

0.3383

***

F1

0.2946

0.2971

 

0.4359

0.447

**

0.3019

0.304

 

0.4562

0.4635

***

 

BN

 

FT

 

Full set

NI1

Full set

NI1

 
 

α

β

 

α

β

 

α

β

 

α

β

 

MCC

0.1356

0.1412

 

0.188

0.2043

**

0.1319

0.1408

**

0.1607

0.1981

***

TPr

0.7794

0.8553

***

0.7866

0.842

***

0.704

0.7545

***

0.6931

0.821

***

TNr

0.4143

0.3341

 

0.4197

0.3749

 

0.4881

0.4504

 

0.485

0.3905

 

PRC

0.2008

.1976

 

0.3358

0.3341

 

0.2059

0.2055

 

0.335

0.3343

 

F1

0.3005

0.3007

 

0.4574

0.4654

**

0.2983

0.3034

***

0.4385

0.4628

***

 

RT

 
 

Full set

NI1

  
 

α

β

 

α

β

       

MCC

0.1059

0.1196

***

0.128

0.1769

***

      

TPr

0.6333

0.6583

***

0.6246

0.6986

***

      

TNr

0.5227

0.5173

 

0.5221

0.502

       

PRC

0.1999

0.2041

**

0.327

0.343

***

      

F1

0.2843

0.2922

***

0.417

0.4461

***

      
  1. Algorithm abbreviations in Table 1. The algorithms were applied to the full protein set (Full Set) and the NI1 subset. Statistical significance was calculated using using 1-sided Wilcoxon’s signed rank test. (* P < 0.05; ** P < 0.01; *** P < 0.001).