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## Figure 2.
Exemplar graph to clarify the interpretation of Figure 3. The graph presents a visual pairwise comparison between two normalization algorithms
Q_{1 }and Q_{2 }on the same data set. For each gene, we calculate the variance of its Q_{1}-normalized expression profile and its Q_{2}-normalized expression profile and plot the log_{2}-ratio of this variance on the y-axis where Y = log_{2 }[Q_{1}-normalized: Q_{2}-normalized]. A gene's log variance ratio is plotted against its expression (mean
Ct value) on the x-axis. The regions where the data points fall in the graph give
us an indication of which normalization algorithm produces noisier data and whether
there is a differential bias in expression for genes most affected by this noise.
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