Privacy-preserving federated unsupervised domain adaptation with application to age prediction from DNA methylation data

Authors

Ali Burak Ünal (ORCID: https://orcid.org/0000-0002-7279-620X)
Mete Akgün (ORCID: https://orcid.org/0000-0003-4088-2784)
Nico Pfeifer (ORCID: https://orcid.org/0000-0002-4647-8566)
Cem Ata Baykara (ORCID: https://orcid.org/0000-0002-3414-5297)

Institutions

Privy Council Office (CA)
University of Tübingen (DE)

Publication Details

Journal: Bioinformatics
Published: 2025-08-22
DOI: https://doi.org/10.1093/bioinformatics/btaf465
Primary Topic: Privacy-Preserving Technologies in Data
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Bundesministerium für Bildung und Forschung

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article

Privacy-preserving federated unsupervised domain adaptation with application to age prediction from DNA methylation data

Ali Burak Ünal, Mete Akgün, Nico Pfeifer, Cem Ata Baykara

Aug 22, 2025

Bioinformatics

Privacy-Preserving Technologies in Data

article

Privacy-preserving federated unsupervised domain adaptation with application to age prediction from DNA methylation data

Ali Burak Ünal, Mete Akgün, Nico Pfeifer, Cem Ata Baykara

August 22, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(10)

Privy Council Office (CA), University of Tübingen (DE)

Bundesministerium für Bildung und Forschung

Openalex Percentile: Top 89%

Privacy-Preserving Technologies in Data

DOI Open Access PDF OpenAlex

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