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Volumn , Issue , 2008, Pages 952-959

mStruct: A new admixture model for inference of population structure in light of both genetic admixing and allele mutations

Author keywords

[No Author keywords available]

Indexed keywords

CELL CULTURE; INFERENCE ENGINES; LEARNING SYSTEMS; ROBOT LEARNING;

EID: 56449122300     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (14)
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    • A worldwide survey of haplotype variation and linkage disequilibrium in the human genome
    • Conrad, D., Jakobsson, M., Coop, G., Wen, X., Wall, J., Rosenberg, N., & Pritchard, J. (2006). A worldwide survey of haplotype variation and linkage disequilibrium in the human genome. Nat Genet, 38, 1251-1260.
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    • Conrad, D.1    Jakobsson, M.2    Coop, G.3    Wen, X.4    Wall, J.5    Rosenberg, N.6    Pritchard, J.7
  • 6
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    • Comment on Genetic Structure of Human Populations
    • Excoffier, L., & Hamilton, G. (2003). Comment on Genetic Structure of Human Populations. Science, 300, 1877-1877.
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    • Excoffier, L.1    Hamilton, G.2
  • 7
    • 0041817568 scopus 로고    scopus 로고
    • Inference of Population Structure Using Multilocus Genotype Data Linked Loci and Correlated Allele Frequencies
    • Falush, D., Stephens, M., & Pritchard, J. (2003). Inference of Population Structure Using Multilocus Genotype Data Linked Loci and Correlated Allele Frequencies. Genetics, 164, 1567-1587.
    • (2003) Genetics , vol.164 , pp. 1567-1587
    • Falush, D.1    Stephens, M.2    Pritchard, J.3
  • 8
    • 0033225865 scopus 로고    scopus 로고
    • An Introduction to Variational Methods for Graphical Models
    • Jordan, M., Ghahramani, Z., Jaakkola, T., & Saul, L. (1999). An Introduction to Variational Methods for Graphical Models. Machine Learning, 37, 183-233.
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    • Jordan, M.1    Ghahramani, Z.2    Jaakkola, T.3    Saul, L.4
  • 9
    • 33747888078 scopus 로고    scopus 로고
    • Interpreting anonymous DNA samples from mass disasters-probabilistic forensic inference using genetic markers
    • Lin, T., Myers, E., & Xing, E. (2006). Interpreting anonymous DNA samples from mass disasters-probabilistic forensic inference using genetic markers. Bioinformatics, 22, e298.
    • (2006) Bioinformatics , vol.22
    • Lin, T.1    Myers, E.2    Xing, E.3
  • 10
    • 0034118493 scopus 로고    scopus 로고
    • Inference of Population Structure Using Multilocus Genotype Data
    • Pritchard, J., Stephens, M., & Donnelly, P. (2000). Inference of Population Structure Using Multilocus Genotype Data. Genetics, 155, 945-959.
    • (2000) Genetics , vol.155 , pp. 945-959
    • Pritchard, J.1    Stephens, M.2    Donnelly, P.3
  • 12
    • 34547830853 scopus 로고    scopus 로고
    • Spectrum: Joint bayesian inference of population structure and recombination events
    • Sohn, K., & Xing, E. (2007). Spectrum: joint bayesian inference of population structure and recombination events. Bioinformatics, 23, i479.
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    • Sohn, K.1    Xing, E.2
  • 13
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    • Allele Frequencies at Microsatellite Loci: The Stepwise Mutation Model Revisited
    • Valdes, A., Slatkin, M., & Premier, N. (1993). Allele Frequencies at Microsatellite Loci: The Stepwise Mutation Model Revisited. Genetics, 133, 737-749.
    • (1993) Genetics , vol.133 , pp. 737-749
    • Valdes, A.1    Slatkin, M.2    Premier, N.3
  • 14
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    • A generalized mean field algorithm for variational inference in exponential families
    • Morgan Kaufmann Publishers
    • Xing, E., Jordan, M., & Russell, S. (2003). A generalized mean field algorithm for variational inference in exponential families. Uncertainty in Artificial Intelligence (UAI2003). Morgan Kaufmann Publishers.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.