Inferring Disease-Associated MicroRNAs Using Semi-supervised Multi-Label Graph Convolutional Networks

MicroRNAs (miRNAs) play crucial roles in biological processes involved in diseases. The associations between diseases and protein-coding genes (PCGs) have been well investigated, and miRNAs interact with PCGs to trigger them to be functional. We present a computational method, DimiG, to infer miRNA-...

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Detalles Bibliográficos
Autores principales: Pan, Xiaoyong, Shen, Hong-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817654/
https://www.ncbi.nlm.nih.gov/pubmed/31605942
http://dx.doi.org/10.1016/j.isci.2019.09.013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817654/
https://www.ncbi.nlm.nih.gov/pubmed/31605942
http://dx.doi.org/10.1016/j.isci.2019.09.013

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