K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling
- DOI
- 10.1093/bib/bbag351
- Published
- 2026-07
- Container
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bib/bbag351,
title = {K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling},
author = {Tao Liu and Jing-Yi Li and Ziyu Chen and Chan Gu and Tong Zhou and Shi-Qi Yang and Yang Ding and Ge Gao},
year = {2026},
journal = {Briefings in Bioinformatics},
doi = {10.1093/bib/bbag351},
url = {https://doi.org/10.1093/bib/bbag351}
}RIS
TY - JOUR TI - K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling AU - Tao Liu AU - Jing-Yi Li AU - Ziyu Chen AU - Chan Gu AU - Tong Zhou AU - Shi-Qi Yang AU - Yang Ding AU - Ge Gao PY - 2026 JO - Briefings in Bioinformatics DO - 10.1093/bib/bbag351 UR - https://doi.org/10.1093/bib/bbag351 ER -
APA
Liu, T., Li, J., Chen, Z., Gu, C., Zhou, T., Yang, S., Ding, Y., & Gao, G. (2026). K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag351
Source records
- crossref · retrieved 2026-11-10T11:57:29.775Z