Figure 2.

Comparison of our quantile regression method to a linear regression based method using the ROC curves. This figure shows the ROC curves generated by analyzing seven simulated datasets using our quantile regression method, and a linear regression method. Each simulated dataset has a different type and level of noise. The ROC curves show that our approach consistently out-performs the linear regression method studied in this work in terms of both sensitivity and specificity in all seven simulated datasets.

Ho et al. BMC Genomics 2009 10(Suppl 3):S16   doi:10.1186/1471-2164-10-S3-S16