Merits and Experienced Data

SuperNORM brings the following merits for your research

You can compare any sets of data among multiple experiments at a time. Further normalization is not necessary. SuperNORM finds the additive noise level (Figure 1). Determined logratios will follow a stable normal distribution. Consequently objective data comparisons and evaluations become possible (Figure 2).

* Rank-logratio plots
The x-axis shows the % ranks of the average z-scores of two data sets, and the y-axis shows the logratio that is calculated by means of the difference in the z-scores. The intensity dependence of the determined logratio can be found by tilting and/or varying the width of the bands formed by the dots as well as by noting changes in the moving averages (red line) and moving standard deviations (blue line). In theory, the ratios should be stable against the signal intensity. However, in actual plots, the ratios are often signal dependent for the measured value, and a greater variation tends to be observed in the region of low or high signal intensity.

Examples of experienced data

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