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...

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Detalles Bibliográficos
Autores principales: Nunes, Susana, Sousa, Rita T., Pesquita, Catia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

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