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Table 14 Relative ranking of complex detection algorithms on unscored and affinity-scored networks

From: MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure

PPI network

 

Wodak

MIPS

Aloy

  
 

Method

F1

Norm

F1

Norm

F1

Norm

Total

Norm

G+K

CMC

0.407

1.000

0.283

1.000

0.455

1.000

3.000

1.000

 

HACO

0.351

0.862

0.216

0.761

0.333

0.731

2.355

0.785

 

MCL-CAw

0.313

0.768

0.218

0.770

0.270

0.592

2.130

0.710

 

CORE

0.292

0.718

0.210

0.741

0.256

0.561

2.020

0.673

 

MCL

0.271

0.665

0.175

0.619

0.271

0.595

1.879

0.626

 

MCL-CA

0.244

0.601

0.212

0.749

0.278

0.610

1.960

0.653

 

COACH

0.183

0.450

0.137

0.486

0.194

0.426

1.361

0.454

ICD(G+K)

MCL-CAw

0.567

1.000

0.450

1.000

0.578

0.976

2.976

1.000

 

HACO

0.565

0.995

0.378

0.841

0.593

1.000

2.837

0.953

 

MCLO

0.533

0.939

0.412

0.916

0.572

0.965

2.820

0.947

 

CMC

0.531

0.936

0.403

0.897

0.480

0.810

2.642

0.888

 

MCL

0.498

0.879

0.370

0.822

0.543

0.916

2.616

0.879

FSW(G+K)

MCL-CAw

0.576

0.992

0.423

1.000

0.625

1.000

2.992

1.000

 

HACO

0.581

1.000

0.396

0.935

0.609

0.974

2.910

0.972

 

MCL

0.541

0.931

0.393

0.929

0.585

0.935

2.795

0.934

 

MCLO

0.513

0.884

0.376

0.888

0.612

0.979

2.750

0.919

 

CMC

0.484

0.833

0.338

0.798

0.465

0.744

2.375

0.794

Cons3.19

MCL-CAw

0.614

1.000

0.487

1.000

0.576

0.979

2.979

1.000

 

MCLO

0.606

0.986

0.471

0.967

0.575

0.977

2.930

0.984

 

CMC

0.604

0.982

0.479

0.983

0.588

1.000

2.965

0.995

 

MCL

0.573

0.932

0.407

0.836

0.567

0.964

2.732

0.917

 

HACO

0.475

0.774

0.379

0.777

0.502

0.854

2.405

0.807

Boot0.094

HACO

0.572

0.991

0.380

1.000

0.585

1.000

2.991

1.000

 

CMC

0.577

1.000

0.367

0.965

0.515

0.881

2.846

0.952

 

MCL-CAw

0.447

0.776

0.282

0.742

0.416

0.711

2.229

0.745

 

MCL

0.426

0.738

0.299

0.785

0.400

0.683

2.207

0.738

 

MCLO

0.424

0.736

0.267

0.701

0.392

0.670

2.108

0.705

  1. Ranking obtained from normalized F1 values. The G+K network is unscored, while the remaining are scored using affinity scoring schemes.