SIMLINK enables accurate variant pathogenicity prediction through modeling the gene-variant-feature association structure
- DOI
- 10.1093/bioinformatics/btag601
- Published
- 2026-08
- Container
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag601,
title = {SIMLINK enables accurate variant pathogenicity prediction through modeling the gene-variant-feature association structure},
author = {Hong-Dong Li and Chenlu Wang and Dongfang Yan and Wenkui Huang and Zongxuan Li and Shaokai Wang},
year = {2026},
journal = {Bioinformatics},
doi = {10.1093/bioinformatics/btag601},
url = {https://doi.org/10.1093/bioinformatics/btag601}
}RIS
TY - JOUR TI - SIMLINK enables accurate variant pathogenicity prediction through modeling the gene-variant-feature association structure AU - Hong-Dong Li AU - Chenlu Wang AU - Dongfang Yan AU - Wenkui Huang AU - Zongxuan Li AU - Shaokai Wang PY - 2026 JO - Bioinformatics DO - 10.1093/bioinformatics/btag601 UR - https://doi.org/10.1093/bioinformatics/btag601 ER -
APA
Li, H., Wang, C., Yan, D., Huang, W., Li, Z., & Wang, S. (2026). SIMLINK enables accurate variant pathogenicity prediction through modeling the gene-variant-feature association structure. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag601
Source records
- crossref · retrieved 2026-09-25T02:09:06.536Z