Privacy-preserving chi-squared test of independence for small samples

Privacy-preserving chi-squared test of independence for small samples

Background: The importance of privacy protection in analyses of personal data, such as genome-wide association studies (GWAS), has grown in recent years. GWAS focuses on identifying single-nucleotide polymorphisms (SNPs) associated with certain diseases such as cancer and diabetes, and the chi-squar...

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Bibliographic Details
Main Authors: Ohsuga, A. (Author), Sei, Y. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Article
chi square test
Chi-squared testing
controlled study
data accuracy
data mining
data privacy
Differentical privacy
gene linkage disequilibrium
genetic algorithm
genetic database
genome-wide association study
genomics
genotype
priority journal
privacy preserving data mining
Privacy-preserving data mining
probability
sample
sensitivity analysis
single nucleotide polymorphism
statistical significance
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