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Article

Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data.

Journal of biomedical informatics - 1 Aug 2024

Hong Seungwan, Choi Yoolim A, Joo Daniel S, Gürsoy Gamze

Abstract excerpt

OBJECTIVE: Linear and logistic regression are widely used statistical techniques in population genetics for analyzing genetic data and uncovering patterns and associations in large genetic datasets, such as identifying genetic variations linked to specific diseases or traits. However, obtaining statistically significant results from these studies requires large amounts of sensitive genotype and phenotype...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 38936565
DOI: 10.1016/j.jbi.2024.104678
PMCID: PMC11272436

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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