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Visualizing population structure with variational autoencoders
Dimensionality reduction is a common tool for visualization and inference of population structure from genotypes, but popular methods either return too many dimensions for easy plotting (PCA) or fail to preserve global geometry (t-SNE and UMAP). Here we explore the utility of variational autoencoder...
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| Publicado en: | G3 (Bethesda) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8022710/ https://ncbi.nlm.nih.gov/pubmed/33561250 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/g3journal/jkaa036 |
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