YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning
YModPred is a deep learning-based model that effectively captures sequence features and dependencies, enabling accurate prediction of multi-type RNA modification sites in S. cerevisiae. We believe it will facilitate further research into the mechanisms of RNA modifications.
Authors
- Chunyan Ao (ORCID: https://orcid.org/0000-0002-3008-6357)
- Quan Zou (ORCID: https://orcid.org/0000-0001-6406-1142)
- Yansu Wang (ORCID: https://orcid.org/0000-0003-1274-4958)
- Mengting Niu (ORCID: https://orcid.org/0000-0001-9175-4649)
- Liang Yu (ORCID: https://orcid.org/0000-0002-8351-3332)
Institutions
- Xidian University (CN)
- University of Electronic Science and Technology of China (CN)
- Shenzhen Polytechnic University (CN)
- Quzhou University (CN)
Publication Details
- Journal
- BMC Biology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1186/s12915-025-02372-y
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Science and Technology Major Project
- Natural Science Foundation of Zhejiang Province