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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