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Hierarchical Generalized Linear Models for Multiple Quantitative Trait Locus Mapping
We develop hierarchical generalized linear models and computationally efficient algorithms for genomewide analysis of quantitative trait loci (QTL) for various types of phenotypes in experimental crosses. The proposed models can fit a large number of effects, including covariates, main effects of nu...
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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
2009
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2651046/ https://ncbi.nlm.nih.gov/pubmed/19139143 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.108.099556 |
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