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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Detalles Bibliográficos
Autores principales: Li, Guanghui, Wang, Diancheng, Zhang, Yuejin, Liang, Cheng, Xiao, Qiu, Luo, Jiawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8859418/
https://www.ncbi.nlm.nih.gov/pubmed/35198012
http://dx.doi.org/10.3389/fgene.2022.829937

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8859418/
https://www.ncbi.nlm.nih.gov/pubmed/35198012
http://dx.doi.org/10.3389/fgene.2022.829937

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