Predicting physiological aging rates from a range of quantitative traits using machine learning

It is widely thought that individuals age at different rates. A method that measures “physiological age” or physiological aging rate independent of chronological age could therefore help elucidate mechanisms of aging and inform an individual’s risk of morbidity and mortality. Here we present machine...

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Detalles Bibliográficos
Autores principales: Sun, Eric D., Qian, Yong, Oppong, Richard, Butler, Thomas J., Zhao, Jesse, Chen, Brian H., Tanaka, Toshiko, Kang, Jian, Sidore, Carlo, Cucca, Francesco, Bandinelli, Stefania, Abecasis, Gonçalo R., Gorospe, Myriam, Ferrucci, Luigi, Schlessinger, David, Goldberg, Ilya, Ding, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580337/
https://www.ncbi.nlm.nih.gov/pubmed/34718232
http://dx.doi.org/10.18632/aging.203660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580337/
https://www.ncbi.nlm.nih.gov/pubmed/34718232
http://dx.doi.org/10.18632/aging.203660

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