RED-ML: a novel, effective RNA editing detection method based on machine learning

With the advancement of second generation sequencing techniques, our ability to detect and quantify RNA editing on a global scale has been vastly improved. As a result, RNA editing is now being studied under a growing number of biological conditions so that its biochemical mechanisms and functional...

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Detalles Bibliográficos
Autores principales: Xiong, Heng, Liu, Dongbing, Li, Qiye, Lei, Mengyue, Xu, Liqin, Wu, Liang, Wang, Zongji, Ren, Shancheng, Li, Wangsheng, Xia, Min, Lu, Lihua, Lu, Haorong, Hou, Yong, Zhu, Shida, Liu, Xin, Sun, Yinghao, Wang, Jian, Yang, Huanming, Wu, Kui, Xu, Xun, Lee, Leo J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467039/
https://www.ncbi.nlm.nih.gov/pubmed/28328004
http://dx.doi.org/10.1093/gigascience/gix012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467039/
https://www.ncbi.nlm.nih.gov/pubmed/28328004
http://dx.doi.org/10.1093/gigascience/gix012

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