Figure 1From: Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets Overview of the proposed approach (A) Gene Expression datasets are represented as coexpression graphs; In (B) multiple coexpression graphs from (A) are represented as an edge-attributed summary graph. The topological and attribute edge similarity matrices are depicted in (C), the hybrid similarity matrix is shown in (D) and the final hybrid similarity matrix after applying a cutoff is shown in (E). The weighted hybrid graph is shown in (F) with the edge clusters enclosed by ovals in dotted lines.Back to article page