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Table 1 Properties of the PPI networks used for the evaluation of MCL-CAw

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

PPI Network # Proteins # Interactions Avg node degree
Gavin 1430 7592 10.62
Krogan 'Core' 2708 7123 5.26
Gavin+Krogan 2964 13507 9.12
ICD(Gavin+Krogan) 1628 8707 10.69
FSW(Gavin+Krogan) 1628 8688 10.67
Consolidated3.19 1622 9704 11.96
Bootstrap0.094 2719 10290 7.56
Inferred 954 11892 24.93
Gavin+Krogan+Inferred 3418 25352 14.83
ICD(Gavin+Krogan+Inferred) 2034 12009 11.81
FSW(Gavin+Krogan+Inferred) 1892 11705 12.37
  1. The Gavin+Krogan network was generated by combining the Gavin and Krogan-Core datasets, obtained from BioGrid [32]. The ICD(Gavin+Krogan) and FSW(Gavin+Krogan) networks were generated by scoring the Gavin+Krogan network using the Iterative-CDk and FS Weightk schemes [14, 15] (with k = 2 iterations). The Consolidated3.19 network refers to the high-confidence subset (PE cut- off: 3.19) of the Consolidated network derived by Collins et al. [11]. The Bootstrap0.094 network refers to the high-confidence subset (BT cut-off: 0.094) of the Bootstrap network derived by Friedel et al. [17]. The Inferred network comprised of computationally inferred interactions from the Predictome database [40]. The Gavin+Krogan+Inferred network was generated by augmenting the Gavin+Krogan network with these inferred interactions. The ICD(Gavin+Krogan+Inferred) and FSW(Gavin+Krogan+Inferred) networks were generated by scoring this augmented network using the Iterative-CD and FS Weight systems, respectively.