Figure 4

Hierarchical clustering of all 88 SRBCT experiments. The clustering was performed using the 353 genes discriminatory for the best partition found using our unsupervised method applied to the training data set reduced for genes discriminating cell lines versus tumors or between print batches. Using these genes, the test samples cluster in clusters dominated by the correct disease category. The scale shows the linear correlation based distance used to construct the dendrogram.