UTR-DynaPro: a CNN–transformer multimodal language model for decoding 5′UTR regulatory mechanisms
Crossref DOI link: https://doi.org/10.1038/s41598-026-42175-x
Published Online: 2026-03-28
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shen, Haoye
Liu, Shuo
Guo, Fuqiang
Zhu, Jiajun
Meng, Jia
Chen, Juntao
Text and Data Mining valid from 2026-03-28
Version of Record valid from 2026-03-31
Article History
Received: 26 November 2025
Accepted: 24 February 2026
First Online: 28 March 2026
Declarations
:
: The authors declare no competing interests.