Figure 5
From: Supervised maximum-likelihood weighting of composite protein networks for complex prediction
Precision-recall graphs for yeast complex prediction using the five weighting approaches with the COMBINED clustering strategy, using k = 20000 for SWC, TOPO, and BOOST, k = 10000 for STR, and k = all edges for NOWEI. (a) match_thres = 0.5, (b) match_thres = 0.75. SWC achieves the highest recall, with the highest precision at almost all recall levels, especially with the stricter match_thres = 0.75. Thus it outperforms all other weighting approaches, especially at predicting complexes with fine granularity.