Back to search

Article

DriverOmicsNet: An Integrated Graph Convolutional Network for Multi-Omics Exploration of Cancer Driver Genes

2024-07-23

Abstract excerpt

<h4>Background</h4> Cancer is a complex and heterogeneous group of diseases driven by genetic mutations and molecular changes. Identifying and characterizing cancer driver genes (CDgs) is crucial for understanding cancer biology and guiding precision oncology. Integrating multi-omics data can reveal the intricate molecular interactions underlying cancer progression and treatment responses. <h4>Methods</h4> We de...

Topics

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

Identifiers and source

Literature Corpus work
b4a6eff2-4d7c-5bc0-a271-1ba4df2dd869
DOI
10.1101/2024.07.21.604474
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.
DriverOmicsNet: An Integrated Graph Convolutional Network for Multi-Omics Exploration of Cancer Driver GenesDOI 10.1101/2024.07.21.604474
Select a neighboring publication to make it the new centre.