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...

Descripción completa

Detalles Bibliográficos
Autores principales: Battey, C J, Coffing, Gabrielle C, Kern, Andrew D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Software and Data Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022710/
https://www.ncbi.nlm.nih.gov/pubmed/33561250
http://dx.doi.org/10.1093/g3journal/jkaa036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022710/
https://www.ncbi.nlm.nih.gov/pubmed/33561250
http://dx.doi.org/10.1093/g3journal/jkaa036

Ejemplares similares