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Table 2 Performance comparison of different algorithms based on MIPS golden standard

From: Bayesian module identification from multiple noisy networks

Data set Metric Multiple network ClusterOne Hofman
DIP Acc 0.3933 0.3178 0.3403
  Frac 0.2381 0.3598 0.1111
  PPV 0.3567 0.4076 0.2651
  Sep 0.2535 0.2216 0.2020
BioGRID Acc 0.4614 0.4336 0.4383
  Frac 0.2975 0.4974 0.2275
  PPV 0.3713 0.4207 0.3649
  Sep 0.2536 0.2193 0.2189
  1. The best indices are highlighted with bold fonts