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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