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Statistical and conceptual challenges in the comparative analysis of principal components

bioRxiv

Jul 22, 2014

Josef C UyedaMatthew W Pennell

Abstract

Quantitative geneticists long ago recognized the value of studying evolution in a multivariate framework ([Pearson, 1903][1]). Due to linkage, pleiotropy, coordinated selection and mutational covariance, the evolutionary response in any phenotypic trait can only be properly understood i...read more

Mentioned in this Paper

Dysentery; Bacillary, Schmitz(-Stutzer)
Genetic Pleiotropy
Geneticist
Statistical Technique
Response (Communication)
Genetic Linkage
Silo (Dataset)
Comparative Analysis
Biological Evolution
EAF2 gene
10
1
18
Paper Details
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Statistical and conceptual challenges in the comparative analysis of principal components

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][1]). Due to linkage, pleiotropy, coordinated selection and mutational covariance, the evolutionary response in any phenotypic trait can only be properly understood i...read more

Mentioned in this Paper

Dysentery; Bacillary, Schmitz(-Stutzer)
Genetic Pleiotropy
Geneticist
Statistical Technique
Response (Communication)
Genetic Linkage
Silo (Dataset)
Comparative Analysis
Biological Evolution
EAF2 gene
10
1
18
Paper Details
References
  • References
  • Citations
  • finger pointing at paper

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