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Comparative analysis of principal components can be misleading

bioRxiv

Jul 22, 2014

Josef C UyedaMatthew W. Pennell

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Abstract

Quantitative geneticists long ago recognized the value of studying evolution in a multivariate framework (Pearson, 1903). Due to linkage, pleiotropy, coordinated selection and mutational covariance, the evolutionary response in any phenotypic trait can only be properly understood in the...read more

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Comparative Analysis
Geneticist
Genetic Linkage
Response (Communication)
EAF2 gene
Statistical Technique
Silo (Dataset)
Dysentery; Bacillary, Schmitz(-Stutzer)
Biological Evolution
Genetic Pleiotropy
10
1
17
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  • Comparative analysis of principal components can be misleading

    bioRxiv

    Jul 22, 2014

    Josef C UyedaMatthew W. Pennell

    PMID: 990007369

    DOI: 10.1101/007369

    Abstract

    Quantitative geneticists long ago recognized the value of studying evolution in a multivariate framework (Pearson, 1903). Due to linkage, pleiotropy, coordinated selection and mutational covariance, the evolutionary response in any phenotypic trait can only be properly understood in the...read more

    Mentioned in this Paper

    Comparative Analysis
    Geneticist
    Genetic Linkage
    Response (Communication)
    EAF2 gene
    10
    1
    17
    Paper Details
    References
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