Privacy-preserving biological age prediction over federated human methylation data using fully homomorphic encryption.

Goldenberg M, Mualem L, Shahar A, Snir S, Akavia A

DOI: 10.1101/gr.279071.124
Published: 2024 Oct 11
Container: Genome research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1101/gr.279071.124,
  title = {Privacy-preserving biological age prediction over federated human methylation data using fully homomorphic encryption.},
  author = {Goldenberg M and Mualem L and Shahar A and Snir S and Akavia A},
  year = {2024},
  journal = {Genome research},
  doi = {10.1101/gr.279071.124},
  url = {https://doi.org/10.1101/gr.279071.124}
}

RIS

TY  - JOUR
TI  - Privacy-preserving biological age prediction over federated human methylation data using fully homomorphic encryption.
AU  - Goldenberg M
AU  - Mualem L
AU  - Shahar A
AU  - Snir S
AU  - Akavia A
PY  - 2024
JO  - Genome research
DO  - 10.1101/gr.279071.124
UR  - https://doi.org/10.1101/gr.279071.124
ER  -

APA

M, G., L, M., A, S., S, S., & A, A. (2024). Privacy-preserving biological age prediction over federated human methylation data using fully homomorphic encryption.. Genome research. https://doi.org/10.1101/gr.279071.124

Source records

pubmed · retrieved 2026-09-25T07:17:26.148Z