Figure 5
From: Towards the uniform distribution of null P values on Affymetrix microarrays
Fitting data to a local regression removes systematic variations present after quantile-quantile normalization. Shown is a comparison of cyber t scores for the null genes of the Latin Square comparison of experiment 8 versus 9 in the presence and absence of quantile-quantile and statistics level normalization (see text). Red lines are Lowess regression lines with a window size of 1,000.