After an initial response to androgen ablation, most prostate tumors recur, ultimately progressing to highly aggressive androgen-independent cancer. Our classification model was built with gene expression profiles of 10 androgen-independent primary prostate tumor biopsies and 10 primary, untreated androgen-dependent tumors.
Platform: Affymetrix GeneChip Human Genome U133 Array Set HG-U133A
Number of genes: 12627 Number of samples: 20 Note: From the originally measured 22283 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: