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Table 13 Performance comparison with DyCluster method on Krogan 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

0.22

0.424

0.285

0.293

0.726

0.461

DyCluster + ClusterONE

0.149

0.341

0.208

0.332

0.736

0.494

DyCluster + COAN

0.305

0.244

0.271

0.249

0.699

0.417

DyCluster + COACH

0.267

0.272

0.27

0.285

0.663

0.435

DyCluster + CMC

0.269

0.212

0.237

0.221

0.706

0.395

DyCluster + HUNTER

0.294

0.161

0.208

0.218

0.501

0.331

DyCluster + MCL

0.149

0.23

0.181

0.467

0.43

0.448

  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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