A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data.

Zhao Y, Lan T, Zhong G, Hagen J, Pan H, Chung WK, Shen Y

DOI: 10.1038/s41467-025-59937-2
Published: 2025 May 20
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-025-59937-2,
  title = {A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data.},
  author = {Zhao Y and Lan T and Zhong G and Hagen J and Pan H and Chung WK and Shen Y},
  year = {2025},
  journal = {Nature communications},
  doi = {10.1038/s41467-025-59937-2},
  url = {https://doi.org/10.1038/s41467-025-59937-2}
}

RIS

TY  - JOUR
TI  - A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data.
AU  - Zhao Y
AU  - Lan T
AU  - Zhong G
AU  - Hagen J
AU  - Pan H
AU  - Chung WK
AU  - Shen Y
PY  - 2025
JO  - Nature communications
DO  - 10.1038/s41467-025-59937-2
UR  - https://doi.org/10.1038/s41467-025-59937-2
ER  -

APA

Y, Z., T, L., G, Z., J, H., H, P., WK, C., & Y, S. (2025). A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data.. Nature communications. https://doi.org/10.1038/s41467-025-59937-2

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pubmed · retrieved 2026-09-27T11:59:57.144Z