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Imbalance learning for the prediction of N(6)-Methylation sites in mRNAs
BACKGROUND: N(6)-methyladenosine (m(6)A) is an important epigenetic modification which plays various roles in mRNA metabolism and embryogenesis directly related to human diseases. To identify m(6)A in a large scale, machine learning methods have been developed to make predictions on m(6)A sites. How...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090857/ https://www.ncbi.nlm.nih.gov/pubmed/30068294 http://dx.doi.org/10.1186/s12864-018-4928-y |