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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