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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