Fig. 2From: Learning the optimal scale for GWAS through hierarchical SNP aggregationArea under ROC curves according to the number of clusters in the clusSNP and singleSNP scenarios: the vertical lines indicate the number of aggregated-SNPs (clusters) obtained with Algorithm 1, i.e. the level where the prediction error is minimized (AUC-ROC at its maximum)Back to article page