Active learning for efficient analysis of high-throughput nanopore data

MOTIVATION: As the third-generation sequencing technology, nanopore sequencing has been used for high-throughput sequencing of DNA, RNA, and even proteins. Recently, many studies have begun to use machine learning technology to analyze the enormous data generated by nanopores. Unfortunately, the suc...

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Detalles Bibliográficos
Autores principales: Guan, Xiaoyu, Li, Zhongnian, Zhou, Yueying, Shao, Wei, Zhang, Daoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825740/
https://www.ncbi.nlm.nih.gov/pubmed/36445037
http://dx.doi.org/10.1093/bioinformatics/btac764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825740/
https://www.ncbi.nlm.nih.gov/pubmed/36445037
http://dx.doi.org/10.1093/bioinformatics/btac764

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