Jul 22, 2014

Statistical and conceptual challenges in the comparative analysis of principal components

BioRxiv : the Preprint Server for Biology
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 in the context

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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

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