Article

Unsupervised Machine Learning for Data Encoding applied to Ovarian Cancer Transcriptomes

2019-11-26

Abstract excerpt

Machine learning algorithms are revolutionising how information can be extracted from complex and high-dimensional data sets via intelligent compression. For example, unsupervised Autoen-coders train a deep neural network with a low-dimensional “bottlenecked” central layer to reconstruct input vectors. Variational Autoencoders (VAEs) have shown promise at learning meaningful latent spaces for text, image and more...

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Literature Corpus work: 4b95013f-837e-5371-b13d-16fa93eb24d1
DOI: 10.1101/855593

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