Figure 7
From: Supervised maximum-likelihood weighting of composite protein networks for complex prediction
Precision-recall graphs for human complex prediction using the five weighting approaches for the COMBINED clustering strategy. SWC achieves the highest recall with the highest precision at almost all recall levels, especially with the stricter match_thres = 0.75, where SWC recalls at least 50% more test complexes compared to the other approaches and maintains almost twice the precision throughout its recall range. Thus it outperforms all other weighting approaches, especially at predicting complexes with ne granularity.