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Table 15 Performance comparison with DyCluster method on MIPS 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 0.336 0.401 0.372 0.24 0.683 0.405
DyCluster + ClusterONE 0.118 0.369 0.178 0.302 0.659 0.446
DyCluster + COAN 0.264 0.276 0.27 0.234 0.611 0.378
DyCluster + COACH 0.196 0.267 0.226 0.247 0.586 0.38
DyCluster + CMC 0.235 0.23 0.233 0.213 0.602 0.358
DyCluster + HUNTER 0.29 0.171 0.215 0.197 0.554 0.33
DyCluster + MCL 0.102 0.143 0.119 0.229 0.304 0.264
  1. F: F-score, P: precision, R: recall. The highest score of each row is shown in bold