Figure 3

Hierarchical clustering of the 63 SRBCT training experiments. The clustering was performed using the 353 genes discriminatory for the best partition found in the data set reduced for genes discriminating cell lines versus tumors or between print batches. Using the discriminatory genes found by our unsupervised method results in clusters that correspond to the disease categories. The scale shows the linear correlation based distance used to construct the dendrogram.