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Table 13 Area under the curve (AUC) values of precision versus recall curves for complex detection methods on the unscored and scored PPI networks

From: MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure

PPI network MCL MCLO MCL-CAw CMC HACO COACH CORE
G+K 0.225   0.323 0.271 0.136 0.169 0.361
ICD(G+K) 0.436 0.435 0.472 0.494 0.305   
FSW(G+K) 0.431 0.430 0.487 0.481 0.461   
Consol3.19 0.469 0.463 0.488 0.399 0.367   
Boot0.094 0.349 0.353 0.389 0.513 0.317   
  1. Considering ± 5% error in AUC values, CORE showed the highest value on unscored network, while MCL-CAw and CMC showed the overall highest on the scored networks.