EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network

BACKGROUND: A large number of biological studies have shown that miRNAs are inextricably linked to many complex diseases. Studying the miRNA-disease associations could provide us a root cause understanding of the underlying pathogenesis in which promotes the progress of drug development. However, tr...

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Detalles Bibliográficos
Autores principales: Pang, Shanchen, Zhuang, Yu, Wang, Xinzeng, Wang, Fuyu, Qiao, Sibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597227/
https://www.ncbi.nlm.nih.gov/pubmed/34789236
http://dx.doi.org/10.1186/s12911-021-01671-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597227/
https://www.ncbi.nlm.nih.gov/pubmed/34789236
http://dx.doi.org/10.1186/s12911-021-01671-y

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