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RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations
BACKGROUND: Predicting miRNA-disease associations (MDAs) is time-consuming and expensive. It is imminent to improve the accuracy of prediction results. So it is crucial to develop a novel computing technology to predict new MDAs. Although some existing methods can effectively predict novel MDAs, the...
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| Izdano u: | BMC Bioinformatics |
|---|---|
| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2019
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929455/ https://ncbi.nlm.nih.gov/pubmed/31874608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3260-0 |
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