Principal Component Analysis (PCA). Both the pilot and independent data set are shown. First, (A) gene selection is done using a Kruskal Wallis test. Then (B) PCA analysis is performed on this reduced pilot data set. Next (C), the corresponding gene expression values are selected in the independent data set and finally (D) this reduced independent data set is projected on the three largest principal components calculated only on the pilot data set.