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Uncover miRNA-Disease Association by Exploiting Global Network Similarity
Identification of miRNA-disease association is a fundamental challenge in human health clinic. However, the known miRNA-disease associations are rare and experimental verification methods are expensive and time-consuming. Therefore, there is a strong incentive to develop computational methods. In th...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5132253/ https://ncbi.nlm.nih.gov/pubmed/27907011 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0166509 |
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