Ricardo Hernández Medina

On the use of variational autoencoders for biomedical data integration

2025 · bioRxiv (Cold Spring Harbor Laboratory)

Abstract Variational Autoencoders (VAEs) are a widely used framework to integrate diverse biomedical data modalities, create representations that capture the underlying structure of the datasets, and obtain insights about the relations between variables. Here we …