Additionally, depression studies across eight cohorts ( n = 1942) using 12 ML strategies, including RF and joint autoencoder-classifier models, identified 1987 nominally significant CpGs, achieving AUCs of 0.73–0.76, though harmonized data reduced predictive power, highlighting preprocessing challenges [ 112 ].
← all excerpts
DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics.
1
—
—