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Table 15 Performance comparison with DyCluster method on MIPS dataset and gene expression data using MIPS2006 as benchmark

From: Construction of dynamic probabilistic protein interaction networks for protein complex identification

 

P

R

F

Sn

PPV

Acc

Our method

0.336

0.401

0.372

0.24

0.683

0.405

DyCluster + ClusterONE

0.118

0.369

0.178

0.302

0.659

0.446

DyCluster + COAN

0.264

0.276

0.27

0.234

0.611

0.378

DyCluster + COACH

0.196

0.267

0.226

0.247

0.586

0.38

DyCluster + CMC

0.235

0.23

0.233

0.213

0.602

0.358

DyCluster + HUNTER

0.29

0.171

0.215

0.197

0.554

0.33

DyCluster + MCL

0.102

0.143

0.119

0.229

0.304

0.264

  1. F: F-score, P: precision, R: recall. The highest score of each row is shown in bold