Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering

BACKGROUND: Accumulating studies indicates that microRNAs (miRNAs) play vital roles in the process of development and progression of many human complex diseases. However, traditional biochemical experimental methods for identifying disease-related miRNAs cost large amount of time, manpower, material...

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Detalles Bibliográficos
Autores principales: Nie, Ru, Li, Zhengwei, You, Zhu-hong, Bao, Wenzheng, Li, Jiashu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406577/
https://www.ncbi.nlm.nih.gov/pubmed/34461870
http://dx.doi.org/10.1186/s12911-021-01616-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406577/
https://www.ncbi.nlm.nih.gov/pubmed/34461870
http://dx.doi.org/10.1186/s12911-021-01616-5

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