Article

A deep learning approach for uncovering lung cancer immunome patterns

2018-03-30

Abstract excerpt

Tumor immune cell infiltration is a well known factor related to survival of cancer patients. This has led to deconvolution approaches that can quantify immune cell proportions for each individual. What is missing, is an approach for modeling joint patterns of different immune cell types. We adapt a deep learning approach, deep Boltzmann machines (DBMs), for modeling immune cell gene expression patterns in lung ad...

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Literature Corpus work: 0e143516-8b55-55ca-92fc-b1cba3d066c5
DOI: 10.1101/291047

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