Cargando…
A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side
BACKGROUND: Single Nucleotide Polymorphism (SNP) in the genome has become crucial information for clinical use. For example, the targeted cancer therapy is primarily based on the information which clinically important SNPs are detectable from the tumor. Many hospitals have developed their own panels...
Autores principales: | Park, Sungjoon, Kim, Minsu, Seo, Seokjun, Hong, Seungwan, Han, Kyoohyung, Lee, Keewoo, Cheon, Jung Hee, Kim, Sun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456943/ https://www.ncbi.nlm.nih.gov/pubmed/30967116 http://dx.doi.org/10.1186/s12864-019-5473-z |
Ejemplares similares
-
Secure searching of biomarkers through hybrid homomorphic encryption scheme
por: Kim, Miran, et al.
Publicado: (2017) -
Logistic regression model training based on the approximate homomorphic encryption
por: Kim, Andrey, et al.
Publicado: (2018) -
Secure tumor classification by shallow neural network using homomorphic encryption
por: Hong, Seungwan, et al.
Publicado: (2022) -
Logistic regression over encrypted data from fully homomorphic encryption
por: Chen, Hao, et al.
Publicado: (2018) -
Privacy-preserving approximate GWAS computation based on homomorphic encryption
por: Kim, Duhyeong, et al.
Publicado: (2020)