Normalization using weighted negative second order exponential error functions (NeONORM) provides robustness against asymmetries in comparative transcriptome profiles and avoids false calls.

Having up to a quarter of all probe signals artificially induced with a logQ average of up to 2 1.5 , and a constant <logR>/<variance> ratio of 0.1, this dataset resulted in highly significant perturbations easily detectable in the sign plots shown in Figure 5 (Supporting online material: “HT29(1)robustness.txt”).

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