Back to search

Article

omicsGAT: Graph Attention Network for Cancer Subtype Analyses

2022-06-12

Abstract excerpt

<h4>Motivation</h4> The use of high-throughput omics technologies is becoming increasingly popular in all facets of biomedical science. The mRNA sequencing (RNA-seq) method reports quantitative measures of more than tens of thousands of biological features. It provides a more comprehensive molecular perspective of studied cancer mechanisms compared to traditional approaches. Graph-based learning models have been...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c8b5e826-8bbd-57ff-a394-8cbac8b71e63
DOI
10.1101/2022.06.08.495390
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.
omicsGAT: Graph Attention Network for Cancer Subtype AnalysesDOI 10.1101/2022.06.08.495390
Select a neighboring publication to make it the new centre.