Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention Mechanism

Many studies have clarified that microRNAs (miRNAs) are associated with many human diseases. Therefore, it is essential to predict potential miRNA-disease associations for disease pathogenesis and treatment. Numerous machine learning and deep learning approaches have been adopted to this problem. In...

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Detalles Bibliográficos
Autores principales: Jin, Chen, Shi, Zhuangwei, Lin, Ken, Zhang, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774034/
https://www.ncbi.nlm.nih.gov/pubmed/35053212
http://dx.doi.org/10.3390/biom12010064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774034/
https://www.ncbi.nlm.nih.gov/pubmed/35053212
http://dx.doi.org/10.3390/biom12010064

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