BERMP: a cross-species classifier for predicting m(6)A sites by integrating a deep learning algorithm and a random forest approach

N(6)-methyladenosine (m(6)A) is a prevalent RNA methylation modification involved in several biological processes. Hundreds or thousands of m(6)A sites identified from different species using high-throughput experiments provides a rich resource to construct in-silico approaches for identifying m(6)A...

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Detalles Bibliográficos
Autores principales: Huang, Yu, He, Ningning, Chen, Yu, Chen, Zhen, Li, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2018
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6216033/
https://www.ncbi.nlm.nih.gov/pubmed/30416381
http://dx.doi.org/10.7150/ijbs.27819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6216033/
https://www.ncbi.nlm.nih.gov/pubmed/30416381
http://dx.doi.org/10.7150/ijbs.27819

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