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1 Ergebnisse
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Machine Learning Approximations to Predict Epigenetic Age A..:
Isabel Fernández-Pérez
;
Joan Jiménez-Balado
;
Uxue Lazcano
...
https://www.mdpi.com/1422-0067/24/3/2759. , 2023
Link:
https://doi.org/10.3390/ijms24032759
RT Journal T1
Machine Learning Approximations to Predict Epigenetic Age Acceleration in Stroke Patients
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:58943a1bd5c44a8995322f47175dc7b8&Exemplar=1&LAN=DE A1 Isabel Fernández-Pérez A1 Joan Jiménez-Balado A1 Uxue Lazcano A1 Eva Giralt-Steinhauer A1 Lucía Rey Álvarez A1 Elisa Cuadrado-Godia A1 Ana Rodríguez-Campello A1 Adrià Macias-Gómez A1 Antoni Suárez-Pérez A1 Anna Revert-Barberá A1 Isabel Estragués-Gázquez A1 Carolina Soriano-Tarraga A1 Jaume Roquer A1 Angel Ois A1 Jordi Jiménez-Conde PB MDPI AG YR 2023 K1 aging K1 epigenetic clock K1 machine learning K1 vascular risk factors K1 stroke K1 Biology (General) K1 QH301-705.5 K1 Chemistry K1 QD1-999 JF https://www.mdpi.com/1422-0067/24/3/2759 LK http://dx.doi.org/https://doi.org/10.3390/ijms24032759 DO https://doi.org/10.3390/ijms24032759 SF ELIB - SuUB Bremen
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