MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association

Accumulating biological and clinical evidence has confirmed the important associations between microRNAs (miRNAs) and a variety of human diseases. Predicting disease-related miRNAs is beneficial for understanding the molecular mechanisms of pathological conditions at the miRNA level, and facilitatin...

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Detalles Bibliográficos
Autores principales: Wu, Qingwen, Wang, Yutian, Gao, Zhen, Ni, Jiancheng, Zheng, Chunhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174776/
https://www.ncbi.nlm.nih.gov/pubmed/32351545
http://dx.doi.org/10.3389/fgene.2020.00354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174776/
https://www.ncbi.nlm.nih.gov/pubmed/32351545
http://dx.doi.org/10.3389/fgene.2020.00354

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