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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