Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases

Metadata—the machine-readable descriptions of the data—are increasingly seen as crucial for describing the vast array of biomedical datasets that are currently being deposited in public repositories. While most public repositories have firm requirements that metadata must accompany submitted dataset...

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Detalles Bibliográficos
Autores principales: Martínez-Romero, Marcos, O'Connor, Martin J, Egyedi, Attila L, Willrett, Debra, Hardi, Josef, Graybeal, John, Musen, Mark A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6866600/
https://www.ncbi.nlm.nih.gov/pubmed/31210270
http://dx.doi.org/10.1093/database/baz059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6866600/
https://www.ncbi.nlm.nih.gov/pubmed/31210270
http://dx.doi.org/10.1093/database/baz059

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