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Prediction of disease-related miRNAs by voting with multiple classifiers
There is strong evidence to support that mutations and dysregulation of miRNAs are associated with a variety of diseases, including cancer. However, the experimental methods used to identify disease-related miRNAs are expensive and time-consuming. Effective computational approaches to identify disea...
Autores principales: | Gu, Changlong, Li, Xiaoying |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150488/ https://www.ncbi.nlm.nih.gov/pubmed/37122001 http://dx.doi.org/10.1186/s12859-023-05308-x |
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