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Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models
BACKGROUND: Linear mixed-effects models (LMM) are a leading method in conducting genome-wide association studies (GWAS) but require residual maximum likelihood (REML) estimation of variance components, which is computationally demanding. Previous work has reduced the computational burden of variance...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6668092/ https://ncbi.nlm.nih.gov/pubmed/31362713 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2978-z |
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