With this model we are trying to distinguish between two childhood tumors - Ewing's sarcoma (EWS) and rhabdomyosarcoma (RMS) based on gene expression values.
Platform: Affymetrix GeneChip Human Genome U95 Version [1 or 2] Set HG-U95A
Diagnostic classes:
- Ewing's sarcoma (EWS): 11 examples (47.8%)
- Rhabdomyosarcoma (RMS): 12 examples (52.2%)
Number of genes: 9945 Number of samples: 23 Note: From the originally measured 12625 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: