Comparing methods for drug-gene interaction prediction on the biomedical literature knowledge graph:...
Comparing methods for drug-gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
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Publisher
England: BioMed Central
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Language
English
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England: BioMed Central
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Contents
This paper applies different link prediction methods on a knowledge graph generated from biomedical literature, with the aim to compare their ability to identify unknown drug-gene interactions and explain their predictions. Identifying novel drug-target interactions is a crucial step in drug discovery and repurposing. One approach to this problem i...
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Full title
Comparing methods for drug-gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
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TN_cdi_doaj_primary_oai_doaj_org_article_0cfc17e9ca124f97b2df28e0b0b9eb86
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0cfc17e9ca124f97b2df28e0b0b9eb86
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-023-05373-2
