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Scalable probabilistic PCA for large-scale genetic variation data
Principal component analysis (PCA) is a key tool for understanding population structure and controlling for population stratification in genome-wide association studies (GWAS). With the advent of large-scale datasets of genetic variation, there is a need for methods that can compute principal compon...
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| Publicado no: | PLoS Genet |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7286535/ https://ncbi.nlm.nih.gov/pubmed/32469896 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1008773 |
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