Unsupervised learning of multi-omics data enables disease risk prediction in the UK Biobank
Rohrer Chiara, Justus F. Gräf, Marc Pielies Avelli, Ricardo Hernández Medina, Henry Emanuel Webel, Kirstine Ravn, Simon Rasmussen
The paper applies a variational autoencoder to multi-omics data from the UK Biobank to assess disease risk prediction and the impact of preprocessing on model performance.
bioRxiv · Oct 2, 2025 · PreprintBioinformatics