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GWAS with longitudinal phenotypes: performance of approximate procedures
Analysis of genome-wide association studies with longitudinal data using standard procedures, such as linear mixed model (LMM) fitting, leads to discouragingly long computation times. There is a need to speed up the computations significantly. In our previous work (Sikorska et al: Fast linear mixed...
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| 出版年: | Eur J Hum Genet |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4592098/ https://ncbi.nlm.nih.gov/pubmed/25712081 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ejhg.2015.1 |
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