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Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs

Recent advances in high-throughput sequencing allow researchers to examine the transcriptome in more detail than ever before. Using a method known as high-throughput small RNA-sequencing, we can now profile the expression of small regulatory RNAs such as microRNAs and small interfering RNAs (siRNAs)...

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Detalhes bibliográficos
Main Authors: Ryvkin, Paul, Leung, Yuk Yee, Ungar, Lyle H., Gregory, Brian D., Wang, Li-San
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3991776/
https://ncbi.nlm.nih.gov/pubmed/24145223
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ymeth.2013.10.002
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