Article
Deep learning discerns cancer mutation exclusivity
2020-04-10
Abstract excerpt
<h4>ABSTRACT</h4> The exclusivity of a vast majority of cancer mutations remains poorly understood, despite the availability of large amounts of whole genome and exome sequencing data. In clinical settings, this markedly hinders the identification of the previously uncharacterized deleterious mutations due to the unavailability of matched normal samples. We employed state of the art deep learning algorithms for c...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- abf1aae8-6968-5a66-ae14-93dd20183af2
- DOI
- 10.1101/2020.04.09.022731
