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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | RNA Biology |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15476286.2024.2315384 |
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