Figure 7.

The ROC curves in GM12878 data using Caltech RNA-seq ASE SNPs as gold standard. We plot TPd(q), the number of true allele-specific SNPs among the top q ranked SNPs in dataset d, against the rank cutoff q for each method. The true allele-specific SNPs are defined as SNPs that have ≥1 RNA-seq exonic ASE SNPs in their 10kb neighborhood. (a)-(g) Results in 7 representative datasets. (h) In each dataset, we computed the area under the ROC curve (AUC) using the 2000 top ranked SNPs for each method. dAUC, the proportion of improvement of AUC brought by iASeq over the best AUC from the single-dataset based methods, was computed for each dataset. The distribution of dAUC in all 40 datasets is shown.

Wei et al. BMC Genomics 2012 13:681   doi:10.1186/1471-2164-13-681
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