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Limitations of principal components in quantitative genetic association models for human studies
Principal Component Analysis (PCA) and the Linear Mixed-effects Model (LMM), sometimes in combination, are the most common genetic association models. Previous PCA-LMM comparisons give mixed results, unclear guidance, and have several limitations, including not varying the number of principal compon...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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eLife Sciences Publications, Ltd
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234632/ https://www.ncbi.nlm.nih.gov/pubmed/37140344 http://dx.doi.org/10.7554/eLife.79238 |