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Table 11 Performance comparison with DyCluster method on DIP 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 0.483 0.471 0.477 0.373 0.694 0.509
DyCluster + ClusterONE 0.153 0.373 0.217 0.399 0.63 0.501
DyCluster + COAN 0.349 0.311 0.329 0.339 0.596 0.449
DyCluster + COACH 0.319 0.375 0.344 0.409 0.54 0.47
DyCluster + CMC 0.316 0.294 0.305 0.328 0.565 0.43
DyCluster + HUNTER 0.472 0.147 0.224 0.226 0.618 0.374
DyCluster + MCL 0.243 0.228 0.237 0.497 0.343 0.413
  1. F: F-score, P: precision, R: recall. The highest score of each row is shown in bold