MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features

MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features

RNA modifications play crucial roles in various biological processes and diseases. Accurate prediction of RNA modification sites is essential for understanding their functions. In this study, we propose a hybrid approach that fuses a pre-trained sequence representation with various sequence features...

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Bibliographic Details
Main Authors: Linshu Wang, Yuan Zhou
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:RNA Biology
Subjects:
RNA modifications
deep learning
sequence features
Bidirectional encoder representations from transformers (BERT)
convolutional neural network
web server
Online Access:https://www.tandfonline.com/doi/10.1080/15476286.2024.2315384

Internet

https://www.tandfonline.com/doi/10.1080/15476286.2024.2315384

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