Article

On the use of variational autoencoders for biomedical data integration

2025-08-22

Abstract excerpt

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 describe how this is achieved from an empirical point of view in our previously developed VAE-based framework MOVE, providing an intuitive perspective on the inner...

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Literature Corpus work: fbf93f1c-d9bd-5def-b1f4-d40fd12d6f65
DOI: 10.1101/2025.08.18.670835

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