We built a classification model that attempts to distinguishes between different embryonal tumors of the central nervous system on the basis of DNA expression signatures. We used the dataset A1 from the original research done by Pomeroy et al., consisting of 40 samples from 5 diagnostic classes (medulloblastomas, malignant gliomas, atypicalteratoid/rhabdoid tumors, primitive neuroectodermal tumors and normal cerebella).
Following are the three best-ranked visualization with eight, six and four attributes in respect to the visualization score, that is, visualizations where examples from different diagnostic classes are best separated: