Figure 5. Distribution Transformation.

A Box-Cox transformation applied to the low-grade glioma dataset (left) results in a distribution that more closely approximates a normal distribution (right). Note that the parent distribution was recentered to a zero mean to compensate for the default mean of the Robust Multichip Normalization output of 7. This transformed distribution was then used to analyze distribution-dependent effects on identification of differentially-expressed genes, functional annotation, and prospective molecular classification.