Fig. 2From: Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypesPerformance comparison between PheLEx and other misclassification extraction methods in identifying misclassified samples in simulations. Misclassification extraction methods: PheLEx (red), PheLEx-mm (purple), PheLEx-mh (teal), and Rekaya (blue). a Box plots showing area under Receiver Operating Characteristic (ROC) curves (AUC ROC) (y-axis) for identifying misclassified samples across simulations against increasing misclassification rates (x-axis) for misclassification extraction methods. b Box plots showing area under Precision-Recall (PR) curves (AUC PR) (y-axis) for identifying misclassified samples across simulations against increasing misclassification rates (x-axis) for misclassification extraction methods. c Box plots for running time (hours) (y-axis) is shown for misclassification extraction methods (x-axis) across simulationsBack to article page