Hierarchical clusters of rules for the MSC dataset. Hierarchical clustering of the top 100 statistically significant rules (p ≤ 0.05). SegMine rules were obtained from a dataset of senescence in human mesenchymal stem cells (MSC dataset). Euclidean distance and Ward's linkage criteria were used to compute the hierarchy.
Podpečan et al. BMC Bioinformatics 2011 12:416 doi:10.1186/1471-2105-12-416