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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.
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BMC Bioinformatics

ISSN: 1471-2105

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