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Eigen-R(2) for dissecting variation in high-dimensional studies

Summary: We provide a new statistical algorithm and software package called ‘eigen-R(2)’ for dissecting the variation of a high-dimensional biological dataset with respect to other measured variables of interest. We apply eigen-R(2) to two real-life examples and compare it with simply averaging R(2)...

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Detalhes bibliográficos
Main Authors: Chen, Lin S., Storey, John D.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2008
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4038975/
https://ncbi.nlm.nih.gov/pubmed/18718946
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btn411
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