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Multi-domain knowledge graph embeddings for gene-disease association prediction
BACKGROUND: Predicting gene-disease associations typically requires exploring diverse sources of information as well as sophisticated computational approaches. Knowledge graph embeddings can help tackle these challenges by creating representations of genes and diseases based on the scientific knowle...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426189/ https://www.ncbi.nlm.nih.gov/pubmed/37580835 http://dx.doi.org/10.1186/s13326-023-00291-x |