GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm

Numerous evidences indicate that Circular RNAs (circRNAs) are widely involved in the occurrence and development of diseases. Identifying the association between circRNAs and diseases plays a crucial role in exploring the pathogenesis of complex diseases and improving the diagnosis and treatment of d...

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Detalles Bibliográficos
Autores principales: Wang, Lei, You, Zhu-Hong, Li, Yang-Ming, Zheng, Kai, Huang, Yu-An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266350/
https://www.ncbi.nlm.nih.gov/pubmed/32433655
http://dx.doi.org/10.1371/journal.pcbi.1007568

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266350/
https://www.ncbi.nlm.nih.gov/pubmed/32433655
http://dx.doi.org/10.1371/journal.pcbi.1007568

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