Article

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

2017-04-27

Abstract excerpt

<h4>ABSTRACT</h4> Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated by these platforms, and rely on experts to hand-select a small number of features for training prediction models. In this paper, we demonstrate how...

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Literature Corpus work: f2f3d6da-a199-5782-9522-c1966015b446
DOI: 10.1101/131367

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