Comparing G Matrices: Are Common Principal Components Informative?
نویسندگان
چکیده
منابع مشابه
Comparing G matrices: are common principal components informative?
Common principal components (CPC) analysis is a technique for assessing whether variance-covariance matrices from different populations have similar structure. One potential application is to compare additive genetic variance-covariance matrices, G. In this article, the conditions under which G matrices are expected to have common PCs are derived for a two-locus, two-allele model and the model ...
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ژورنال
عنوان ژورنال: Genetics
سال: 2003
ISSN: 1943-2631
DOI: 10.1093/genetics/165.1.411