Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information

Predicting the potential microRNA (miRNA) candidates associated with a disease helps in exploring the mechanisms of disease development. Most recent approaches have utilized heterogeneous information about miRNAs and diseases, including miRNA similarities, disease similarities, and miRNA-disease ass...

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Detalles Bibliográficos
Autores principales: Xuan, Ping, Zhang, Yan, Zhang, Tiangang, Li, Lingling, Zhao, Lianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770973/
https://www.ncbi.nlm.nih.gov/pubmed/31500152
http://dx.doi.org/10.3390/genes10090685

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770973/
https://www.ncbi.nlm.nih.gov/pubmed/31500152
http://dx.doi.org/10.3390/genes10090685

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