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Volumn 30, Issue 8, 2014, Pages 1177-1179

Regional heritability advanced complex trait analysis for GPU and traditional parallel architectures

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BIOLOGY; PHENOTYPE; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE; STATISTICAL MODEL;

EID: 84898850289     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt754     Document Type: Article
Times cited : (18)

References (5)
  • 1
    • 77953997924 scopus 로고    scopus 로고
    • Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects
    • Agullo, E. (2009) Numerical linear algebra on emerging architectures: the PLASMA and MAGMA projects. J. Phys., 180, 1.
    • (2009) J. Phys. , vol.180 , pp. 1
    • Agullo, E.1
  • 2
    • 84870437175 scopus 로고    scopus 로고
    • Advanced complex trait analysis
    • Gray, A. et al. (2012) Advanced complex trait analysis. Bioinformatics, 28, 3134-3136.
    • (2012) Bioinformatics , vol.28 , pp. 3134-3136
    • Gray, A.1
  • 3
    • 84877772849 scopus 로고    scopus 로고
    • A powerful and efficient set test for genetic markers that handles confounders
    • Listgarten, J. et al. (2013) A powerful and efficient set test for genetic markers that handles confounders. Bioinformatics, 29, 1526-1533.
    • (2013) Bioinformatics , vol.29 , pp. 1526-1533
    • Listgarten, J.1
  • 4
    • 84867566824 scopus 로고    scopus 로고
    • Localising loci underlying complex trait variation using regional genomic relationship mapping
    • Nagamine, Y. et al. (2012) Localising loci underlying complex trait variation using regional genomic relationship mapping. PLoS One, 7, e46501.
    • (2012) PLoS One , vol.7
    • Nagamine, Y.1
  • 5
    • 78650856517 scopus 로고    scopus 로고
    • GCTA: A tool for genome-wide complex trait analysis
    • Yang, J. et al. (2011) GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet., 88, 76-82.
    • (2011) Am. J. Hum. Genet. , vol.88 , pp. 76-82
    • Yang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.