Skip to main content
Fig. 8 | BMC Bioinformatics

Fig. 8

From: Performance of epistasis detection methods in semi-simulated GWAS

Fig. 8

Area under the ROC curve. The global performance of each method is evaluated through the Area Under its ROC Curve (AUC). A piecewise linear approximation of the ROC curve is used to compute its AUC. Random classifiers area caracterized by AUC=0.5 and perfect classifiers by AUC=1. The AUC is represented for each method (rows) and each scenarios (columns), classified by their LD

Back to article page