Injecting structure-aware insights for the learning of RNA sequence representations to identify m6A modification sites

N6-methyladenosine (m6A) represents one of the most prevalent methylation modifications in eukaryotes and it is crucial to accurately identify its modification sites on RNA sequences. Traditional machine learning based approaches to m6A modification site identification primarily focus on RNA sequenc...

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Bibliographic Details
Main Authors: Yue Yu, Shuang Xiang, Minghao Wu
Format: Article
Language:English
Published: PeerJ Inc. 2025-02-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/18878.pdf
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