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MLMDA: a machine learning approach to predict and validate MicroRNA–disease associations by integrating of heterogenous information sources
BACKGROUND: Emerging evidences show that microRNA (miRNA) plays an important role in many human complex diseases. However, considering the inherent time-consuming and expensive of traditional in vitro experiments, more and more attention has been paid to the development of efficient and feasible com...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688360/ https://www.ncbi.nlm.nih.gov/pubmed/31395072 http://dx.doi.org/10.1186/s12967-019-2009-x |