Integration of Multiomic and Multi-phenotypic Data Identifies Biological Pathways Associated with Physical Fitness
Azar Alizadeh, John F. Graf, Matthew J. Misner, Andrew Burns, Fiona Ginty, Kevin J. O’Donovan, J. Kenneth Wickiser, N Barringer, Gregory M Freisinger, Neil Hermansen, J. Elizabeth McDonough, Brian Davis, Evelina Loghin, Christine Surrette, Peter Tu, , Luca Marinelli
This paper introduces PhenoMol, a framework that integrates multiomic and multi-phenotypic data to identify biological pathways linked to physical fitness, outperforming traditional regression models.
Communications Biology · Feb 17, 2026Peer-reviewedBioinformatics