Figure 4.

Loss of effect for different normalization methods. Sum of squared errors to the real underlying expression differences of the proposed normalization methods and the standard protocol averaged over 30 runs of the simulated data. "Small CV" depicts the normalization method using smallest coefficient of variation and "small effect" depicts the normalization method using small differences of average expression.

Jaeger and Spang BMC Bioinformatics 2006 7:388   doi:10.1186/1471-2105-7-388
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