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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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Genetics Society of America
2013
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| 主題: | |
| オンライン･アクセス: | 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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