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Predicting potential miRNA-disease associations based on more reliable negative sample selection
BACKGROUND: Increasing biomedical studies have shown that the dysfunction of miRNAs is closely related with many human diseases. Identifying disease-associated miRNAs would contribute to the understanding of pathological mechanisms of diseases. Supervised learning-based computational methods have co...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575264/ https://www.ncbi.nlm.nih.gov/pubmed/36253735 http://dx.doi.org/10.1186/s12859-022-04978-3 |