Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms
- DOI
- 10.1016/j.ajhg.2025.05.002
- Published
- 2025-07
- Container
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ajhg.2025.05.002,
title = {Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms},
author = {Shadi Zabad and Chirayu Anant Haryan and Simon Gravel and Sanchit Misra and Yue Li},
year = {2025},
journal = {The American Journal of Human Genetics},
doi = {10.1016/j.ajhg.2025.05.002},
url = {https://doi.org/10.1016/j.ajhg.2025.05.002}
}RIS
TY - JOUR TI - Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms AU - Shadi Zabad AU - Chirayu Anant Haryan AU - Simon Gravel AU - Sanchit Misra AU - Yue Li PY - 2025 JO - The American Journal of Human Genetics DO - 10.1016/j.ajhg.2025.05.002 UR - https://doi.org/10.1016/j.ajhg.2025.05.002 ER -
APA
Zabad, S., Haryan, C. A., Gravel, S., Misra, S., & Li, Y. (2025). Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2025.05.002
Source records
- crossref · retrieved 2026-09-25T23:50:57.773Z