Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph
Author:
Funder
National Science Foundation
National Institutes of Health
Publisher
Elsevier BV
Subject
General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience
Reference17 articles.
1. Biomedical discovery through the integrative biomedical knowledge hub (iBKH);Su;iScience,2023
2. CADA: phenotype-driven gene prioritization based on a case-enriched knowledge graph;Peng;NAR Genom. Bioinform.,2021
3. DGLinker: flexible knowledge-graph prediction of disease–gene associations;Hu;Nucleic Acids Res.,2021
4. Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings;Celebi;BMC Bioinf.,2019
5. BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information;Ren;Brief. Funct. Genomics,2022
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