Figure 2From: A model selection approach to discover age-dependent gene expression patterns using quantile regression modelsComparison 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.Back to article page