SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction

In the biological field, the identification of the associations between microRNAs (miRNAs) and diseases has been paid increasing attention as an extremely meaningful study for the clinical medicine. However, it is expensive and time-consuming to confirm miRNA-disease associations by experimental met...

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Detalles Bibliográficos
Autores principales: Zhao, Qi, Xie, Di, Liu, Hongsheng, Wang, Fan, Yan, Gui-Ying, Chen, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788602/
https://www.ncbi.nlm.nih.gov/pubmed/29416734
http://dx.doi.org/10.18632/oncotarget.22812

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788602/
https://www.ncbi.nlm.nih.gov/pubmed/29416734
http://dx.doi.org/10.18632/oncotarget.22812

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