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Table 2 The performances of different methods on seven experiments

From: An improved method for functional similarity analysis of genes based on Gene Ontology

GOA

Metric

simGIC

simUI

Resnik

Lin

JC

Teng

WIS

MF_IEA+

ECC

0.6219

0.6365

0.6027

0.6417

0.5612

0.6726

0.6439

Pfam

0.638

0.6181

0.5718

0.5639

0.4908

0.5765

0.6205

Seq

0.7172

0.5925

0.6686

0.6063

0.5459

0.5943

0.6802

Res

0.9559

0.9671

0.9577

0.5705

0.2409

0.9762

0.9866

BP_IEA+

ECC

0.3981

0.4022

0.4444

0.4352

0.3707

0.4648

0.4127

Pfam

0.4574

0.4505

0.4587

0.3727

0.3318

0.4679

0.4831

Seq

0.7732

0.7304

0.7397

0.6369

0.5864

0.7293

0.7744

Res

0.8373

0.8628

0.9004

0.9326

0.3345

0.9076

0.8533

CC_IEA+

ECC

0.3613

0.3757

0.3776

0.3683

0.2598

0.3741

0.3702

Pfam

0.4974

0.5214

0.493

0.485

0.3123

0.496

0.5056

Seq

0.75

0.6721

0.7113

0.6398

0.5013

0.6549

0.7561

Res

0.9001

0.9337

0.9167

0.9359

0.3098

0.9371

0.8926

MF_ IEA-

ECC

0.5874

0.5782

0.4841

0.5161

0.5189

0.6502

0.5947

Pfam

0.5824

0.5504

0.5221

0.5148

0.4503

0.5703

0.5865

Seq

0.6665

0.5907

0.6512

0.5976

0.5219

0.6443

0.7032

Res

0.9358

0.9304

0.9335

0.9376

0.3641

0.9605

0.9345

BP_IEA-

ECC

0.3887

0.3818

0.4257

0.4216

0.4113

0.4311

0.3945

Pfam

0.4383

0.4253

0.4506

0.381

0.274

0.4171

0.4325

Seq

0.7359

0.6949

0.7267

0.6269

0.5333

0.6754

0.7373

Res

0.8697

0.8831

0.8929

0.9117

0.3573

0.8966

0.8561

CC_IEA-

ECC

0.3502

0.3527

0.3443

0.339

0.2519

0.3512

0.3492

Pfam

0.4681

0.4872

0.4676

0.4562

0.3321

0.4725

0.4781

Seq

0.7348

0.6499

0.7214

0.6441

0.5013

0.6875

0.7389

Res

0.8691

0.9072

0.8921

0.9102

0.3441

0.911

0.8686

  1. The best results are in bold