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Table 10 Performance comparison with DyCluster method on Krogan dataset and gene expression data using CYC2008 as benchmark

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

 

P

R

F

Sn

PPV

Acc

Our method

0.468

0.475

0.471

0.364

0.729

0.515

DyCluster + ClusterONE

0.307

0.348

0.326

0.394

0.682

0.518

DyCluster + COAN

0.565

0.23

0.327

0.27

0.677

0.428

DyCluster + COACH

0.48

0.243

0.322

0.321

0.617

0.445

DyCluster + CMC

0.531

0.201

0.292

0.258

0.691

0.423

DyCluster + HUNTER

0.569

0.169

0.261

0.268

0.493

0.364

DyCluster + MCL

0.29

0.173

0.214

0.371

0.376

0.373

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

ISSN: 1471-2105

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