Figure 6
From: Supervised maximum-likelihood weighting of composite protein networks for complex prediction
Precision-recall AUC for human complex prediction, using the five weighting approaches for each of the six clustering algorithms and the COMBINED clustering strategy, for k = 10000 (lighter shade), k = 20000 (darker shade), and k = all edges (only for NOWEI). For CMC, MCL and HACO, three sets of clustering parameters are tried. The AUC for match_thres = 0.5 and match_thres = 0.75 are shown in each bar. SWC consistently achieves highest precision-recall AUC for all clustering algorithms and the COMBINED strategy. The COMBINED strategy achieves higher AUC compared to using any single clustering algorithm alone.