Exploring the application of deep learning methods for polygenic risk score estimation.

Squires S, Weedon MN, Oram RA

DOI: 10.1088/2057-1976/adbb71
Published: 2025 Mar 13
Container: Biomedical physics & engineering express
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/2057-1976/adbb71,
  title = {Exploring the application of deep learning methods for polygenic risk score estimation.},
  author = {Squires S and Weedon MN and Oram RA},
  year = {2025},
  journal = {Biomedical physics \& engineering express},
  doi = {10.1088/2057-1976/adbb71},
  url = {https://doi.org/10.1088/2057-1976/adbb71}
}

RIS

TY  - JOUR
TI  - Exploring the application of deep learning methods for polygenic risk score estimation.
AU  - Squires S
AU  - Weedon MN
AU  - Oram RA
PY  - 2025
JO  - Biomedical physics & engineering express
DO  - 10.1088/2057-1976/adbb71
UR  - https://doi.org/10.1088/2057-1976/adbb71
ER  -

APA

S, S., MN, W., & RA, O. (2025). Exploring the application of deep learning methods for polygenic risk score estimation.. Biomedical physics & engineering express. https://doi.org/10.1088/2057-1976/adbb71

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pubmed · retrieved 2026-09-27T07:01:40.355Z