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Volumn 15, Issue 5, 2015, Pages

FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption

Author keywords

Genome wide association study; homomorphic encryption; secure outsourcing

Indexed keywords

CONTROLLED STUDY; EXPERIMENTAL MODEL; GENETIC PRIVACY; GENOME-WIDE ASSOCIATION STUDY; HUMAN; HUMAN EXPERIMENT; POPULATION BASED CASE CONTROL STUDY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICS; CLOUD COMPUTING; COMPUTER SECURITY; FINANCIAL MANAGEMENT; STANDARDS;

EID: 84977470109     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-15-S5-S5     Document Type: Article
Times cited : (57)

References (25)
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  • 8
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    • Wang S, Mohammed N, Chen R: Differentially private genome data dissemination through topLdown specialization. BMC Med Inform Decis Mak. 2014, 14 (Suppl 1): S2-
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    • Wang, S.1    Mohammed, N.2    Chen, R.3
  • 9
    • 84875595667 scopus 로고    scopus 로고
    • A new way to protect privacy in largeLscale genomeLwide association studies
    • 23413435 1:CAS:528:DC%2BC3sXksFWms70%3D 3605601
    • Kamm L, Bogdanov D, Laur S, Vilo J: A new way to protect privacy in largeLscale genomeLwide association studies. Bioinformatics. 2013, 29: 886-93.
    • (2013) Bioinformatics , vol.29 , pp. 886-893
    • Kamm, L.1    Bogdanov, D.2    Laur, S.3    Vilo, J.4
  • 14
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    • Efficient fully homomorphic encryption from (standard) LWE
    • Brakerski Z, Vaikuntanathan V: Efficient fully homomorphic encryption from (standard) LWE. SIAM J Comput. 2011, 43: 831-871.
    • (2011) SIAM J Comput , vol.43 , pp. 831-871
    • Brakerski, Z.1    Vaikuntanathan, V.2
  • 20
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    • Hazay, C.1    Lindell, Y.2
  • 22
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    • Private predictive analysis on encrypted medical data
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    • Bos JW, Lauter K, Naehrig M: Private predictive analysis on encrypted medical data. J Biomed Inform. 2014, 50: 234-243.
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  • 23
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    • [ https://github.com/shaih/HElib ]
  • 24
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    • HEALER: Homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS
    • [accepted]
    • Wang S, Zhang Y, Dai W, Lauter K, Kim M, Tang Y, Xiong H, Jiang X: HEALER: Homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. Bioinformatics. 2015, [accepted]
    • (2015) Bioinformatics
    • Wang, S.1    Zhang, Y.2    Dai, W.3    Lauter, K.4    Kim, M.5    Tang, Y.6    Xiong, H.7    Jiang, X.8


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.