Unsupervised learning of aging principles from longitudinal data

Age is the leading risk factor for prevalent diseases and death. However, the relation between age-related physiological changes and lifespan is poorly understood. We combined analytical and machine learning tools to describe the aging process in large sets of longitudinal measurements. Assuming tha...

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Detalles Bibliográficos
Autores principales: Avchaciov, Konstantin, Antoch, Marina P., Andrianova, Ekaterina L., Tarkhov, Andrei E., Menshikov, Leonid I., Burmistrova, Olga, Gudkov, Andrei V., Fedichev, Peter O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626636/
https://www.ncbi.nlm.nih.gov/pubmed/36319638
http://dx.doi.org/10.1038/s41467-022-34051-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626636/
https://www.ncbi.nlm.nih.gov/pubmed/36319638
http://dx.doi.org/10.1038/s41467-022-34051-9

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