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Volumn , Issue , 2013, Pages 410-415

Using aggregate human genome data for individual identification

Author keywords

Bayesian network; Genome wide association study; privacy

Indexed keywords


EID: 84894533255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2013.6732527     Document Type: Conference Paper
Times cited : (11)

References (6)
  • 2
    • 84975795680 scopus 로고    scopus 로고
    • An integrated map of genetic variation from 1,092 human genomes
    • The 1000 Genomes Project Consortium
    • The 1000 Genomes Project Consortium, "An integrated map of genetic variation from 1,092 human genomes," Nature, vol. 491, p. 1, 2012.
    • (2012) Nature , vol.491 , pp. 1
  • 3
    • 84876061994 scopus 로고    scopus 로고
    • Private traits and attributes are predictable from digital records of human behavior
    • M. Kosinski, D. Stillwell, and T. Graepel, "Private traits and attributes are predictable from digital records of human behavior," Proceedings of the National Academy of Sciences, vol. 110, no. 15, pp. 5802-5805, 2013.
    • (2013) Proceedings of the National Academy of Sciences , vol.110 , Issue.15 , pp. 5802-5805
    • Kosinski, M.1    Stillwell, D.2    Graepel, T.3
  • 5
    • 84872459720 scopus 로고    scopus 로고
    • Identifying personal genomes by surname inference
    • M. Gymrek, A. L. McGuire, D. Golan, E. Halperin, and Y. Erlich, "Identifying personal genomes by surname inference," Science, vol. 339, no. 6117, pp. 321-324, 2013.
    • (2013) Science , vol.339 , Issue.6117 , pp. 321-324
    • Gymrek, M.1    McGuire, A.L.2    Golan, D.3    Halperin, E.4    Erlich, Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.