Semi-Parallel logistic regression for GWAS on encrypted data

• Główni autorzy: Miran Kim (Autor), Yongsoo Song (Autor), Baiyu Li (Autor), Daniele Micciancio (Autor)
• Format: Książka
• Wydane: BMC, 2020-07-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

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...