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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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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | 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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