Figure 7.

Comparison of different choices of true positives. Areas under ROC curves of Golden Spike data using different combinations of summarization and DE detection methods, and different sets of true positives. For these charts only the equal spike-ins are used as true negatives. The chart shows probesets selected using a 1-sided test of up-regulation. The Low true positives are those spike-ins with a FC greater than 1 but less than or equal to 1.7. The Medium true positives are those spike-ins with a FC between 2 and 2.5 inclusive. The High true positives are those spike-ins with a FC greater than or equal to 3. The y-axis shows -log(1-AUC) rather than AUC, as this gives a better separation between the higher AUC values, but retains the same rank order of methods. The x-axis is categorical, with points jittered to avoid placement on top of each other.