Hierarchical clustering
In order to identify differences and similarities among the different
samples analyzed here (SLIL zones and controls) based on their global
histochemical and immunohistochemical profiles, we analyzed all samples
using hierarchical clustering. With this purpose, average results
obtained for all quantitative histochemical and immunohistochemical
analyses were analyzed using ClustVis web tool for clustering of
multivariate data (Metsalu & Vilo, 2015) (accessible athttps://biit.cs.ut.ee/clustvis/).
A Heatmap dendrogram displaying relative quantitative signals for each
marker was generated by the software based on hierarchical clustering
analysis using the Euclidean distance and the complete clustering method
for both the rows and columns.