In the second model of the gastric cancer data set (GSE2685) we combined the diffuse and intestinal advanced gastric tumor samples into one class in order to distinguish cancer from noncancerous samples based on gene expression measurements.
Platform: Affymetrix GeneChip Human Full Length Array HuGeneFL
- Normal gastric tissue (Normal): 8 examples (26.7%)
- Advanced gastric cancer tissue (Tumor): 22 examples (73.3%)
Number of genes: 4522 Number of samples: 30 Note: From the originally measured 7128 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: