Hierarchical graph neural network with subgraph perturbations for key gene cluster discovery in cancer staging

Hierarchical graph neural network with subgraph perturbations for key gene cluster discovery in cancer staging

Abstract Analyzing highly individual-specific genomic data to understand genetic interactions in cancer development is still challenging, with significant implications for the discovery of individual biomarkers as well as personalized medicine. With the rapid development of deep learning, graph neur...

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Bibliographic Details
Main Authors: Wenju Hou, Yan Wang, Ziqi Zhao, Yizhi Cong, Wei Pang, Yuan Tian
Format: Article
Language:English
Published: Springer 2023-07-01
Series:Complex & Intelligent Systems
Subjects:
Sample-specific networks
Graph convolution networks
Graph pooling
Cancer staging
Significant subgraph extraction
Online Access:https://doi.org/10.1007/s40747-023-01068-6

Internet

https://doi.org/10.1007/s40747-023-01068-6

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