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Privacy-preserving genotype imputation with fully homomorphic encryption
Gamze Gürsoy, Eduardo Chielle, Charlotte M. Brannon, Michail Maniatakos, Mark Gerstein
doi: https://doi.org/10.1101/2020.05.29.124412
Gamze Gürsoy
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
2Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
Eduardo Chielle
3Department of Electrical and Computer Engineering, New York University Abu Dhabi, Abu Dhabi, UAE
Charlotte M. Brannon
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
2Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
Michail Maniatakos
3Department of Electrical and Computer Engineering, New York University Abu Dhabi, Abu Dhabi, UAE
Mark Gerstein
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
2Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
4Department of Computer Science, Yale University, New Haven, CT 06520, USA
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Posted May 30, 2020.
Privacy-preserving genotype imputation with fully homomorphic encryption
Gamze Gürsoy, Eduardo Chielle, Charlotte M. Brannon, Michail Maniatakos, Mark Gerstein
bioRxiv 2020.05.29.124412; doi: https://doi.org/10.1101/2020.05.29.124412
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