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Table 1 Performance comparison of different algorithms based on SGD golden standard

From: Bayesian module identification from multiple noisy networks

Data set Metric Multiple network ClusterOne Hofman
DIP Acc 0.5435 0.4731 0.4561
  Frac 0.2129 0.3194 0.1000
  PPV 0.4648 0.5528 0.3295
  Sep 0.3511 0.3329 0.3146
BioGRID Acc 0.6110 0.5961 0.5549
  Frac 0.2097 0.4839 0.1871
  PPV 0.4738 0.5663 0.4612
  Sep 0.3999 0.3325 0.3505
  1. The best indices are highlighted with bold fonts