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Predicting MiRNA-Disease Association by Latent Feature Extraction with Positive Samples
In discovering disease etiology and pathogenesis, the associations between MicroRNAs (miRNAs) and diseases play a critical role. Given known miRNA-disease associations (MDAs), how to uncover potential MDAs is an important problem. To solve this problem, most of the existing methods regard known MDAs...
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| Pubblicato in: | Genes (Basel) |
|---|---|
| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6410147/ https://ncbi.nlm.nih.gov/pubmed/30682853 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes10020080 |
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