Leveraging genomic deep learning models for the prediction of noncoding variant effects.
- DOI
- 10.1038/s41588-026-02769-7
- Published
- 2026 Oct 21
- Container
- Nature genetics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41588-026-02769-7,
title = {Leveraging genomic deep learning models for the prediction of noncoding variant effects.},
author = {Kathail P and Bajwa A and Ioannidis NM},
year = {2026},
journal = {Nature genetics},
doi = {10.1038/s41588-026-02769-7},
url = {https://doi.org/10.1038/s41588-026-02769-7}
}RIS
TY - JOUR TI - Leveraging genomic deep learning models for the prediction of noncoding variant effects. AU - Kathail P AU - Bajwa A AU - Ioannidis NM PY - 2026 JO - Nature genetics DO - 10.1038/s41588-026-02769-7 UR - https://doi.org/10.1038/s41588-026-02769-7 ER -
APA
P, K., A, B., & NM, I. (2026). Leveraging genomic deep learning models for the prediction of noncoding variant effects.. Nature genetics. https://doi.org/10.1038/s41588-026-02769-7
Source records
- pubmed · retrieved 2026-11-10T13:12:09.534Z