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A Novel Generalized Ridge Regression Method for Quantitative Genetics

As the molecular marker density grows, there is a strong need in both genome-wide association studies and genomic selection to fit models with a large number of parameters. Here we present a computationally efficient generalized ridge regression (RR) algorithm for situations in which the number of p...

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Библиографические подробности
Главные авторы: Shen, Xia, Alam, Moudud, Fikse, Freddy, Rönnegård, Lars
Формат: Artigo
Язык:Inglês
Опубликовано: Genetics Society of America 2013
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3606101/
https://ncbi.nlm.nih.gov/pubmed/23335338
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.112.146720
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