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Luca D'Alessandro

Sapienza University of Rome

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Interpretable Machine Learning Reveals Pairwise Interactions Between Physiological and Methylation Features in Altitude Response

Number of pages: 28 Posted: 22 Oct 2025
Luca D'Alessandro, Paola Paci, Enrico De Smaele, Grzegorz Bilo, Davide Gentilini, Gianfranco Parati, Lucia Zanotti and Francisco C. Villafuerte
Sapienza University of Rome, Sapienza University of Rome, Sapienza University of Rome, affiliation not provided to SSRN, affiliation not provided to SSRN, IRCCS Istituto Auxologico Italiano - Department of Endocrine and Metabolic Diseases, San Luca Hospital - IRCCS Istituto Auxologico Italiano and Universidad Peruana Cayetano Heredia - Laboratorio de Fisiología del Transporte de Oxígeno
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multi-omics data, integrative approaches, interpretable machine learning, human complex physiology, epigenetic-physiological interactions