Secure Inference on Homomorphically Encrypted Genotype Data with Encrypted Linear Models

BACKGROUND: Accurate models are crucial to estimate the phenotypes from high throughput genomic data. While the genetic and phenotypic data are sensitive, secure models are essential to protect the private information. Therefore, construct an accurate and secure model is significant in secure infere...

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Detalles Bibliográficos
Autores principales: Zou, Meng, Zhang, Guangyang, Zhang, Fan, Liu, Guoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104245/
https://www.ncbi.nlm.nih.gov/pubmed/37066203
http://dx.doi.org/10.21203/rs.3.rs-2722738/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104245/
https://www.ncbi.nlm.nih.gov/pubmed/37066203
http://dx.doi.org/10.21203/rs.3.rs-2722738/v1

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