Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures

Mingze Sun, Di Zhang, Zhiyuan Li, Yihan Lin

Open source

DOI: 10.1371/journal.pcbi.1014649
Published: 2026-08-14
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.1014649,
  title = {Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures},
  author = {Mingze Sun and Di Zhang and Zhiyuan Li and Yihan Lin},
  year = {2026},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1014649},
  url = {https://doi.org/10.1371/journal.pcbi.1014649}
}

RIS

TY  - JOUR
TI  - Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures
AU  - Mingze Sun
AU  - Di Zhang
AU  - Zhiyuan Li
AU  - Yihan Lin
PY  - 2026
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1014649
UR  - https://doi.org/10.1371/journal.pcbi.1014649
ER  -

APA

Sun, M., Zhang, D., Li, Z., & Lin, Y. (2026). Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014649

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crossref · retrieved 2026-09-26T02:55:37.316Z