Fig. 2
From: A computational approach for the functional classification of the epigenome
Chromatin patterns definition and interpretation. Upper panel a: color-scale heatmap showing the hierarchical clustering of 13 different epigenetic marks on the coefficient matrix H obtained with seven factorization ranks. Each cell (x, y) in the matrix indicates a pattern coefficient reflecting the contribution of the code in X to the epigenetic track defined in Y. Hierarchical clustering analysis clearly identifies different subgroups of marks b: color-scale heatmap and hierarchical clustering using the average normalized signal of each mark (columns) across all genomic intervals of a given profile (rows). Average signals are centered and scaled such that the mean of the epigenetic mark in each column is zero