The linear correlation between each feature to every other feature was first determined in order to generate a correlation matrix. This correlation matrix was then converted into a per residue matrix (i.e., the dimensions changed from a size of the number of features squared to the number of residues squared) by identifying the largest correlation (in absolute values) between a pair of residues found in any interaction. The correlation of a residue to itself (i.e., the values along the diagonal of the matrix) was set to 1.