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Table 14 Performance comparison with Dycluster method on DIP 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

0.292

0.535

0.378

0.325

0.718

0.483

DyCluster + ClusterONE

0.094

0.424

0.154

0.358

0.683

0.494

DyCluster + COAN

0.245

0.406

0.306

0.317

0.669

0.461

DyCluster + COACH

0.206

0.461

0.284

0.373

0.624

0.483

DyCluster + CMC

0.214

0.369

0.271

0.298

0.631

0.434

DyCluster + HUNTER

0.324

0.184

0.235

0.207

0.664

0.371

DyCluster + MCL

0.147

0.207

0.172

0.443

0.412

0.428

  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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