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Article

HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS.

Bioinformatics (Oxford, England) - 15 Jan 2016

Wang Shuang, Zhang Yuchen, Dai Wenrui, Lauter Kristin, Kim Miran, Tang Yuzhe, Xiong Hongkai, Jiang Xiaoqian

Abstract excerpt

MOTIVATION: Genome-wide association studies (GWAS) have been widely used in discovering the association between genotypes and phenotypes. Human genome data contain valuable but highly sensitive information. Unprotected disclosure of such information might put individual's privacy at risk. It is important to protect human genome data. Exact logistic regression is a bias-reduction method based on a penalized...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 26446135
DOI: 10.1093/bioinformatics/btv563
PMCID: PMC4739182

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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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