Fig. 2: Evidence chains generation workflow. | Nature Communications

Fig. 2: Evidence chains generation workflow.

From: An experimentally validated approach to automated biological evidence generation in drug discovery using knowledge graphs

Fig. 2

a Generating predictions and the corresponding rules from prediction models and AnyBURL b Generating evidence chains without the auto-filtering model. c Gathering biologically relevant gene-disease associations (GDAs) and pathways as input to the gene/pathway filter. d Generating evidence chains with application of the auto-filtering model consisting of the rule-based, significant path, gene/pathway filters and the deductive path builder.

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