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Fig. 2 | BMC Bioinformatics

Fig. 2

From: A knowledge graph approach to predict and interpret disease-causing gene interactions

Fig. 2

Ratio of connected disease-causing gene pairs in different components of BOCK. A gene pair is considered connected if there exists a path between the two genes, regardless of directionality, that can be traversed given a path length cutoff. Nodes of types “Disease” and “OligogenicCombination” were excluded and BOCK was decomposed into: (a) gene-centric networks (COEXP: Gene-coexpresses, PPI: Gene-physInteracts, SEQSIM: Gene-seqSimilar) shown merged as GENE-CENTRIC; (b) composite networks (DOMAIN: Gene-hasUnit-ProteinDomain, FAMILY: Gene-belongs-ProteinFamily, COMPLEX: Gene-forms-ProteinComplex, PROCESS: Gene-associated-BiologicalProcess, FUNCTION: Gene-associated-MolecularFunction, CELLCMP: Gene-associated-CellularComponent, PHENO: Gene-associated-Phenotype) shown merged as COMPOSITE; (c) integrated networks (GENE-CENTRIC: merge of (a), COMPOSITE: merge of (b), ALL: merge of (a) and (b), ALL\(\_\)NOPHENO: a subset of ALL excluding paths traversing “Phenotype” nodes). The ratios of connected oligogenic gene pairs with at least a weak evidence-level (Additional file 1: Table B2) are presented for these components according to path length cut-offs ranging from 1 to 4

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