Semi-Parallel logistic regression for GWAS on encrypted data

Semi-Parallel logistic regression for GWAS on encrypted data

Abstract Background The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of samples can identify disease-causing genetic variants. The privacy concern, howev...

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Bibliographic Details
Main Authors: Miran Kim, Yongsoo Song, Baiyu Li, Daniele Micciancio
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Genomics
Subjects:
Homomorphic encryption
Genome-wide association studies
Logistic regression
Online Access:http://link.springer.com/article/10.1186/s12920-020-0724-z

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http://link.springer.com/article/10.1186/s12920-020-0724-z

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