DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding

Predicting the microRNA-disease associations by using computational methods is conductive to the efficiency of costly and laborious traditional bio-experiments. In this study, we propose a computational machine learning-based method (DANE-MDA) that preserves integrated structure and attribute featur...

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Detalles Bibliográficos
Autores principales: Ji, Bo-Ya, You, Zhu-Hong, Wang, Yi, Li, Zheng-Wei, Wong, Leon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141887/
https://www.ncbi.nlm.nih.gov/pubmed/34041455
http://dx.doi.org/10.1016/j.isci.2021.102455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141887/
https://www.ncbi.nlm.nih.gov/pubmed/34041455
http://dx.doi.org/10.1016/j.isci.2021.102455

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