SCOPUS 정보 검색 플랫폼

BMC Medical Informatics and Decision Making

Volumn 14, Issue 1, 2014, Pages

Scalable privacy-preserving data sharing methodology for genome-wide association studies: An application to iDASH healthcare privacy protection challenge

(2) Yu, Fei a Ji, Zhanglong b

a CARNEGIE MELLON UNIVERSITY (United States)

b UNIVERSITY OF CALIFORNIA (United States)

Author keywords

Contingency table; Data sharing; Differential privacy; Genome wide association study GWAS; Single nucleotide polymorphism; 2 statistic

Indexed keywords

ANONYMIZATION; CONTINGENCY TABLE; GENOME-WIDE ASSOCIATION STUDY; HUMAN; PRIVACY; SINGLE NUCLEOTIDE POLYMORPHISM; GENETIC ASSOCIATION; GENETIC PRIVACY; INFORMATION DISSEMINATION; PROCEDURES; STANDARDS;

GENETIC PRIVACY; GENOME-WIDE ASSOCIATION STUDY; HUMANS; INFORMATION DISSEMINATION;

EID: 84964313111 PISSN: None EISSN: 14726947 Source Type: Journal
DOI: 10.1186/1472-6947-14-S1-S3 Document Type: Article

Times cited : (44)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.