Figure 12
From: A new non-linear normalization method for reducing variability in DNA microarray experiments
t-test rank versus log p-value. Log-log plots showing the distribution of p-values for (a) the HIV study and (b) the glnA study (right). p-values from unnormalized data (black) are compared to log-signal scaling (red), lowess (green), rank invariant (magenta), qspline (blue) and spatial normalization (cyan). Scaled print-tip lowess and qspline are shown for the cDNA data of the glnA experiment, whereas their global versions are shown for the oligonucleotide data.