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Figure 5 | BMC Bioinformatics

Figure 5

From: Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs

Figure 5

Decomposition of a gene-disease-protein complex network. We integrated the gene-disease network from [3] with human protein complexes from the CORUM database [16]. This resulted in a layered tripartite graph, which is schematically drawn in (a). We performed a 10-fold approximation of this graph to estimate appropriate numbers of clusters. The boxplot curve (b) shows how the cost function f(H, C) from equation (1) depends on the number of gene clusters m g . The true minima of the cost function are decreasing with m g , and this is also visible in the approximated minima using our proposed algorithm. Therefore, we are able to identify structures on various resolution levels. The details represent the cost function course for large-scale clustering (i) and a decomposition on small scale (ii), respectively. For our detailed analyses, we used the decompositions showing steep drops in the cost function marked by the red and green boxes.

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