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A weighted heterogeneous knowledge graph containing four types of entities (Tumor, Biomarker, Drug, and ADR) extracted from MEDLINE corpus for adverse drug reaction discovery in antitumor drugs. TBKG uses a naive Bayesian model to explore correlations and provides explainable predictions through tumor-biomarker-drug pathways. The knowledge graph contains 1,179 tumors, 2,550 biomarkers, 1,806 drugs, and 756 ADRs with six types of relationships totaling 139,254 edges.
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