A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts

Phenotype-specific omic expression patterns in people with frailty could provide invaluable insight into the underlying multi-systemic pathological processes and targets for intervention. Classical approaches to frailty have not considered the potential for different frailty phenotypes. We character...

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Veröffentlicht in:GeroScience 2021-06, Vol.43 (3), p.1317-1329
Hauptverfasser: Gomez-Cabrero, David, 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
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Sprache:eng
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