GEHGAN<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" display="inline" id="d1e789"><mml:mo>:</mml:mo></mml:math> CircRNA–disease association prediction via graph embedding and heterogeneous graph attention network-Reference-Cited by-同舟云学术

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GEHGAN: CircRNA–disease association prediction via graph embedding and heterogeneous graph attention network

Published:2024-06 Issue: Volume:110 Page:108079
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Wang Yuehao,Lu Pengli

Publisher

Elsevier BV

Reference44 articles.

1. Circular RNAs open a new chapter in cardiovascular biology;Aufiero;Nat. Rev. Cardiol.,2019

2. Mis-splicing yields circular RNA molecules;Cocquerelle;FASEB J.,1993

3. The RNA binding protein quaking regulates formation of circRNAs;Conn;Cell,2015

4. An ensemble approach for CircRNA-disease association prediction based on autoencoder and deep neural network;Deepthi;Gene,2020

5. Inferring potential circrna–disease associations via deep autoencoder-based classification;Deepthi;Mol. Diagn. Ther.,2021

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