Detection of m6A from direct RNA sequencing using a multiple instance learning framework

Abstract RNA modifications such as m6A methylation form an additional layer of complexity in the transcriptome. Nanopore direct RNA sequencing can capture this information in the raw current signal for each RNA molecule, enabling the detection of RNA modifications using supervised machine learning....

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Autori principali: Christopher Hendra, Ploy N. Pratanwanich, Yuk Kei Wan, W.S. Sho Goh, Alexandre H. Thiéry, Jonathan Göke
Natura: Artigo
Lingua:inglese
Pubblicazione: 2022
Accesso online:https://doi.org/10.1038/s41592-022-01666-1
https://www.nature.com/articles/s41592-022-01666-1.pdf
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