Figure 8.

Comparison of complex detection algorithms on four scored networks. Precision versus recall curves and area-under-the-curve (AUC) values for complex detection algorithms evaluated on Wodak reference with t = 0.5. (a) ICD(Gavin+Krogan): AUC values MCL = 0.436, CMC = 0.494, MCL-CAw = 0.472, MCLO = 0.435, HACO = 0.305. (b) FSW(Gavin+Krogan): AUC values MCL = 0.431, CMC = 0.481, MCL-CAw = 0.487, MCLO = 0.430, HACO = 0.461. (c) Consolidated3.19: AUC values MCL = 0.469, CMC = 0.399, MCL-CAw = 0.488, MCLO = 0.463, HACO = 0.367. (d) Bootstrap0.094: AUC values MCL = 0.349, CMC = 0.513, MCL-CAw = 0.389, MCLO = 0.353, HACO = 0.317.

Srihari et al. BMC Bioinformatics 2010 11:504   doi:10.1186/1471-2105-11-504
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