Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications

Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications

RNA modifications appear to play a role in determining RNA structure and function. Here, the authors develop a deep learning model that predicts the location of 12 RNA modifications using primary sequence, and show that several modifications are associated, which suggests dependencies between them.

Bibliographic Details
Main Authors: Zitao Song, Daiyun Huang, Bowen Song, Kunqi Chen, Yiyou Song, Gang Liu, Jionglong Su, João Pedro de Magalhães, Daniel J. Rigden, Jia Meng
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-24313-3

Internet

https://doi.org/10.1038/s41467-021-24313-3

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