Figure 7From: MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structureComparison of complex detection algorithms on unscored Gavin+Krogan network. (a): Precision versus recall curves and area-under-the-curve (AUC) values for complex detection algorithms on the unscored Gavin+Krogan network, evaluated on Wodak reference with t = 0.5. AUC for MCL = 0.225, COACH = 0.169, CORE = 0.361, MCL-CAw = 0.323, CMC = 0.271, MCL-CA = 0.238, HACO = 0.136. (b): Number of predicted complexes, proportion of true positives (correctly matched to benchmark(s)) and false positives (not matched to any benchmark) for the algorithms.Back to article page