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Table 13 Performance comparison with DyCluster method on Krogan 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 0.22 0.424 0.285 0.293 0.726 0.461
DyCluster + ClusterONE 0.149 0.341 0.208 0.332 0.736 0.494
DyCluster + COAN 0.305 0.244 0.271 0.249 0.699 0.417
DyCluster + COACH 0.267 0.272 0.27 0.285 0.663 0.435
DyCluster + CMC 0.269 0.212 0.237 0.221 0.706 0.395
DyCluster + HUNTER 0.294 0.161 0.208 0.218 0.501 0.331
DyCluster + MCL 0.149 0.23 0.181 0.467 0.43 0.448
  1. F: F-score, P: precision, R: recall. The highest score of each row is shown in bold