Fig. 7
From: Clustering approaches for visual knowledge exploration in molecular interaction networks
The comparison of hierarchical and bi-level clustering by discovered Disease Ontology. The number of Disease Ontology terms discovered by best performing bi-level and hierarchical clustering approaches. The curves represent the cumulative amount of unique terms enriched in all clusters in a given clustering. The adjusted p-value =0.001 was used as a cutoff threshold for the significance of an enriched term. For bi-level clustering, the distance functions are arranged “leader” > “follower”, with Euclidean: Euclidean distance, Net: Network distance, GO: Gene Ontology-based (Biological Process) distance (for details see “Method” section)