Variational Autoencoder, Multi Omic, Computational Biology.
are trained to: Correctly reconstruct the input from the embeddings. Compute embeddings as close as possible to their priors (in order to avoid collapse to a single magnitude). Ensure that similar cells have similar embeddings. This is obtained thanks to the prior knowledge integrated with the