default author photo

Grzegorz Bilo

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

45

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

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
Downloads 45 (1,121,190)

Abstract:

Loading...

multi-omics data, integrative approaches, interpretable machine learning, human complex physiology, epigenetic-physiological interactions