Quantification of private information leakage from phenotype-genotype data: Linking attacks

Nature Methods

Volumn 13, Issue 3, 2016, Pages 251-256

  Harmanci, Arif ^a   Gerstein, Mark ^a,b  

^a YALE UNIVERSITY   (United States)

^b Yale University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANONYMIZATION; ARTICLE; CORRELATION COEFFICIENT; FUNCTIONAL GENOMICS; GENE EXPRESSION; GENE FREQUENCY; GENETIC PRIVACY; GENOTYPE; GENOTYPE PHENOTYPE CORRELATION; HUMAN; INFORMATION PROCESSING; INFORMATION SYSTEM; PREDICTIVE VALUE; PRIORITY JOURNAL; QUANTITATIVE TRAIT LOCUS; ANONYMOUS TESTING; COMPUTER SECURITY; CONFIDENTIALITY; DATA MINING; GENETIC DATABASE; GENETICS; ORGANIZATION AND MANAGEMENT; PHENOTYPE; PROCEDURES;

ANONYMOUS TESTING; COMPUTER SECURITY; CONFIDENTIALITY; DATA MINING; DATABASES, GENETIC; GENETIC PRIVACY; GENOTYPE; HUMANS; PHENOTYPE; QUANTITATIVE TRAIT LOCI;

EID: 84959206240     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.3746     Document Type: Article

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