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...

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Detalles Bibliográficos
Autores principales: Zhao, Zhixun, Peng, Hui, Lan, Chaowang, Zheng, Yi, Fang, Liang, Li, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
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

Internet

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

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