A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts
Embargo End Date
2022-02-18Type
ArticleAuthors
Gomez-Cabrero, Davidon behalf of the FRAILOMIC initiative
Walter, Stefan
Abugessaisa, Imad
Miñambres-Herraiz, Rebeca
Palomares, Lucia Bernad
Butcher, Lee
Erusalimsky, Jorge D.
Garcia-Garcia, Francisco Jose
Carnicero, José
Hardman, Timothy C.
Mischak, Harald
Zürbig, Petra
Hackl, Matthias
Grillari, Johannes
Fiorillo, Edoardo
Cucca, Francesco
Cesari, Matteo
Carrie, Isabelle
Colpo, Marco
Bandinelli, Stefania
Feart, Catherine
Peres, Karine
Dartigues, Jean-François
Helmer, Catherine
Viña, José
Olaso, Gloria
García-Palmero, Irene
Martínez, Jorge García
Jansen-Dürr, Pidder
Grune, Tilman
Weber, Daniela
Lippi, Giuseppe
Bonaguri, Chiara
Sinclair, Alan J
Tegner, Jesper
Rodriguez-Mañas, Leocadio
KAUST Department
Biological and Environmental Science and Engineering (BESE) DivisionBioscience Program