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Figure 5 | Genome Biology

Figure 5

From: Towards the uniform distribution of null P values on Affymetrix microarrays

Figure 5

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.

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