Figure 1.

Hierarchical clustering of pathways using output data generated by PathAct. The pathway activity data was transformed into z-scores by setting the mean expression intensities to 0 and variances to 1 for all pathways. The Euclidean distance was used to calculate a similarity matrix among pathways or individuals, respectively. The red dashed lines indicate the two major clusters obtained by the hierarchical cluster analysis. A: a hierarchical cluster analysis using the selected 28 pathways for the dataset #1. B: a hierarchical cluster analysis using the selected 14 pathways for the dataset #2.