Sample Clustering. Samples are clustered by similarity of gene expression values. The blocks in the comparison matrix are scaled by color so that the most similar are dark blue and least similar are white. The samples from each treatment cluster together indicating global differences between the two treatments.
Garcia et al. BMC Genomics 2012 13:474 doi:10.1186/1471-2164-13-474