This can be done by selecting Supervised Grouping
>> Group by Pattern Similarity. An input
dialog box allows setting the similarity measure (Pearson correlation, Spearman
correlation or Euclidean distance) and reference probe ID as well as the
expected group size. The visualization for this operation is similar to the
clustering results visualization (described below).