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The dendrogram graph indicates that compounds with biologically similar bioactivity were grouped together.
The dendrogram graph of the clustering result is given in Supplementary Figure S1.
The dendrogram graph was plotted for visualizing the binding mode of multi docked poses by the protein-ligand interactions.
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For studies where the levels of similarity are important, therefore the hierarchical structure of the dendrograms, the graph contrasts turn important.
Representing dendrograms in graph theoretical terms allowed us to introduce four measures of cluster frequency in a canonical way, and use them to calculate cluster frequencies over the set of all possible dendrograms, taking all ties in proximity into account.
The objective of HCA is to generate a graph structure (dendrogram) resulting from iterative coupling of clusters according to similarity and grouping criteria.
Motif network graph and dendrogram are based on motif distance scores calculated by SSTAT (Pape et al., 2008).
The cel files were input into Partek Genomics Suite software (Partek, Inc. St . Louis MO, v6.6-6.12.0907) and grouped to produce the principal components analysis (PCA) graph and dendrogram.
The result of Agglomerative hierarchical clustering can be presented by two dimensional graphs called dendrogram or by the (95%) confidence bounded ellipse scatter plot of the first and the second principal factors (which shows the proportion of variance in the data set explained by the first two components in determining clusters).
Many distances can be omitted from the distance graph while the dendrogram structure will remain exactly the same.
Here (L(C subseteq X) is the set of elements (leaves) of C. Before that, cluster is defined as a particular kind of sub-graph within a dendrogram according to: Let D be a dendrogram on X.
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