Machine learning integration of multimodal data identifies key features of blood pressure regulation

BACKGROUND: Association studies have identified several biomarkers for blood pressure and hypertension, but a thorough understanding of their mutual dependencies is lacking. By integrating two different high-throughput datasets, biochemical and dietary data, we aim to understand the multifactorial c...

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Detalles Bibliográficos
Autores principales: Louca, Panayiotis, Tran, Tran Quoc Bao, Toit, Clea du, Christofidou, Paraskevi, Spector, Tim D., Mangino, Massimo, Suhre, Karsten, Padmanabhan, Sandosh, Menni, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463529/
https://www.ncbi.nlm.nih.gov/pubmed/36084617
http://dx.doi.org/10.1016/j.ebiom.2022.104243

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463529/
https://www.ncbi.nlm.nih.gov/pubmed/36084617
http://dx.doi.org/10.1016/j.ebiom.2022.104243

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