Article

DeepProfile: Deep learning of cancer molecular profiles for precision medicine

2018-03-08

Abstract excerpt

We present the DeepProfile framework, which learns a variational autoencoder (VAE) network from thousands of publicly available gene expression samples and uses this network to encode a low-dimensional representation (LDR) to predict complex disease phenotypes. To our knowledge, DeepProfile is the first attempt to use deep learning to extract a feature representation from a vast quantity of unlabeled (i.e, lacking...

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Literature Corpus work: 334f85ab-13ee-5a68-a026-991a50e7b11d
DOI: 10.1101/278739

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