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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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| Publicado en: | BMC Med Genomics |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7372890/ https://ncbi.nlm.nih.gov/pubmed/32693801 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-020-0722-1 |
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