Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data

Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data

Cumulative research studies have verified that multiple circRNAs are closely associated with the pathogenic mechanism and cellular level. Exploring human circRNA–disease relationships is significant to decipher pathogenic mechanisms and provide treatment plans. At present, several computational mode...

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Bibliographic Details
Main Authors: Guanghui Li, Diancheng Wang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Genetics
Subjects:
circRNA-disease associations
deep learning
graph attention network
graph convolutional network
centered kernel alignment
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.829937/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.829937/full

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