Predicting miRNA-disease associations via layer attention graph convolutional network model

BACKGROUND: MiRNA is a class of non-coding single-stranded RNA molecules with a length of approximately 22 nucleotides encoded by endogenous genes, which can regulate the expression of other genes. Therefore, it is very important to predict the associations between miRNA and disease. Predecessors de...

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Detalles Bibliográficos
Autores principales: Han, Han, Zhu, Rong, Liu, Jin-Xing, Dai, Ling-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934489/
https://www.ncbi.nlm.nih.gov/pubmed/35305630
http://dx.doi.org/10.1186/s12911-022-01807-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934489/
https://www.ncbi.nlm.nih.gov/pubmed/35305630
http://dx.doi.org/10.1186/s12911-022-01807-8

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