Article

Integrating multi-omics data through deep learning for accurate cancer prognosis prediction

2019-10-17

Abstract excerpt

<h4>Background</h4> Genomic information is nowadays widely used for precise cancer treatments. Since the individual type of omics data only represents a single view that suffers from data noise and bias, multiple types of omics data are required for accurate cancer prognosis prediction. However, it is challenging to effectively integrate multi-omics data due to the large number of redundant variables but relative...

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Literature Corpus work: f0285a17-1cc1-5287-a4cd-d25167d1240a
DOI: 10.1101/807214

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