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Table 12 Performance comparison with DyCluster method on MIPS 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

0.467

0.324

0.382

0.245

0.662

0.403

DyCluster + ClusterONE

0.157

0.27

0.198

0.301

0.597

0.424

DyCluster + COAN

0.39

0.216

0.278

0.223

0.601

0.366

DyCluster + COACH

0.304

0.216

0.252

0.24

0.522

0.354

DyCluster + CMC

0.363

0.174

0.235

0.199

0.572

0.337

DyCluster + HUNTER

0.421

0.123

0.19

0.195

0.527

0.321

DyCluster + MCL

0.156

0.11

0.129

0.232

0.275

0.253

  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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