Our class prediction model for the medulloblastoma data set (GSE468) was built with gene expression profiles of primary medulloblastomas clinically designated as either metastatic (Met) or non-metastatic (NonMet).
Platform: Affymetrix GeneChip Human Cancer Array HC-G110
Number of genes: 1465 Number of samples: 23 Note: From the originally measured 2059 probe sets we removed genes that were not present (P) in at least one sample
Predictive accuracy with 10-fold cross validation (classifying using the best projection with eight attributes):
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: