Back to search

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
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep learning discerns cancer mutation exclusivityDOI 10.1101/2020.04.09.022731
Select a neighboring publication to make it the new centre.