TriTower-m6Am: A triple-tower heterogeneous deep learning architecture integrating semantic, sequential, and structural information for mRNA N6,2′-O-dimethyladenosine site prediction
- DOI
- 10.1371/journal.pcbi.1014939
- Published
- 2026-11-05
- Container
- PLOS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1014939,
title = {TriTower-m6Am: A triple-tower heterogeneous deep learning architecture integrating semantic, sequential, and structural information for mRNA N6,2′-O-dimethyladenosine site prediction},
author = {Kaifeng Xiong and Jianhua Jia},
year = {2026},
journal = {PLOS Computational Biology},
doi = {10.1371/journal.pcbi.1014939},
url = {https://doi.org/10.1371/journal.pcbi.1014939}
}RIS
TY - JOUR TI - TriTower-m6Am: A triple-tower heterogeneous deep learning architecture integrating semantic, sequential, and structural information for mRNA N6,2′-O-dimethyladenosine site prediction AU - Kaifeng Xiong AU - Jianhua Jia PY - 2026 JO - PLOS Computational Biology DO - 10.1371/journal.pcbi.1014939 UR - https://doi.org/10.1371/journal.pcbi.1014939 ER -
APA
Xiong, K., & Jia, J. (2026). TriTower-m6Am: A triple-tower heterogeneous deep learning architecture integrating semantic, sequential, and structural information for mRNA N6,2′-O-dimethyladenosine site prediction. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014939
Source records
- crossref · retrieved 2026-11-10T04:10:51.995Z