Data integration for prediction of weight loss in randomized controlled dietary trials

Diet is an important component in weight management strategies, but heterogeneous responses to the same diet make it difficult to foresee individual weight-loss outcomes. Omics-based technologies now allow for analysis of multiple factors for weight loss prediction at the individual level. Here, we...

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Detalles Bibliográficos
Autores principales: Nielsen, Rikke Linnemann, Helenius, Marianne, Garcia, Sara L., Roager, Henrik M., Aytan-Aktug, Derya, Hansen, Lea Benedicte Skov, Lind, Mads Vendelbo, Vogt, Josef K., Dalgaard, Marlene Danner, Bahl, Martin I., Jensen, Cecilia Bang, Muktupavela, Rasa, Warinner, Christina, Aaskov, Vincent, Gøbel, Rikke, Kristensen, Mette, Frøkiær, Hanne, Sparholt, Morten H., Christensen, Anders F., Vestergaard, Henrik, Hansen, Torben, Kristiansen, Karsten, Brix, Susanne, Petersen, Thomas Nordahl, Lauritzen, Lotte, Licht, Tine Rask, Pedersen, Oluf, Gupta, Ramneek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674420/
https://www.ncbi.nlm.nih.gov/pubmed/33208769
http://dx.doi.org/10.1038/s41598-020-76097-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674420/
https://www.ncbi.nlm.nih.gov/pubmed/33208769
http://dx.doi.org/10.1038/s41598-020-76097-z

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