Eltager, M.A.M.E. (author), Abdelaal, T.R.M. (author), Charrout, M. (author), Mahfouz, A.M.E.T.A. (author), Reinders, M.J.T. (author), Makrodimitris, S. (author) Deep generative models, such as variational autoencoders (VAE), have gained increasing attention in computational biology due to their ability to capture complex data manifolds which subsequently can be used to achieve better performance in downstream tasks, such as cancer type prediction or subtyping of cancer. However, these models are...
journal article 2023