RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localization

Different RNAs have distinct subcellular localizations. However, nucleotide features that determine these distinct distributions of lncRNAs and mRNAs have yet to be fully addressed. Here, we develop RNAlight, a machine learning model based on LightGBM, to identify nucleotide k-mers contributing to t...

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Detalles Bibliográficos
Autores principales: Yuan, Guo-Hua, Wang, Ying, Wang, Guang-Zhong, Yang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851306/
https://www.ncbi.nlm.nih.gov/pubmed/36464487
http://dx.doi.org/10.1093/bib/bbac509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851306/
https://www.ncbi.nlm.nih.gov/pubmed/36464487
http://dx.doi.org/10.1093/bib/bbac509

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