Machine Learning in Multi-Omics Data to Assess Longitudinal Predictors of Glycaemic Health
Laurie Prélot, Harmen H. M. Draisma, Mila Desi Anasanti…·Inga Prokopenko
The paper uses machine learning to predict glycaemic traits from multi-omics data in longitudinal cohorts, identifying key predictors like methylation marks and metabolic variables.