Welcome to MOVE's documentation!

MOVE (multi-omics variational autoencoder) is a framework for integration of omics and other data modalities (including both categorical and continuous data). Our approach consists of training an ensemble of VAE (variational autoencoder) models and performing in silico perturbation experiments to identify associations across the different omics datasets.

We invite you to read our publication presenting this method, or read about the method :doc:`here</method>`.