Privacy-preserving approximate GWAS computation based on homomorphic encryption

BACKGROUND: One of three tasks in a secure genome analysis competition called iDASH 2018 was to develop a solution for privacy-preserving GWAS computation based on homomorphic encryption. The scenario is that a data holder encrypts a number of individual records, each of which consists of several ph...

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Detalles Bibliográficos
Autores principales: Kim, Duhyeong, Son, Yongha, Kim, Dongwoo, Kim, Andrey, Hong, Seungwan, Cheon, Jung Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372890/
https://www.ncbi.nlm.nih.gov/pubmed/32693801
http://dx.doi.org/10.1186/s12920-020-0722-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372890/
https://www.ncbi.nlm.nih.gov/pubmed/32693801
http://dx.doi.org/10.1186/s12920-020-0722-1

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