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SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood
miRNAs are a class of small noncoding RNAs that are associated with a variety of complex biological processes. Increasing studies have shown that miRNAs have close relationships with many human diseases. The prediction of the associations between miRNAs and diseases has thus become a hot topic. Alth...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156399/ https://www.ncbi.nlm.nih.gov/pubmed/30030889 http://dx.doi.org/10.1111/jcmm.13799 |