Article

Visualizing Population Structure with Variational Autoencoders

2020-08-13

Abstract excerpt

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 autoencoders (VAEs) – generative machine learning models in which a pair of neural networks seek to first compress and then recr...

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Literature Corpus work: 107ffc0d-731b-55db-99c7-7e29b183de5f
DOI: 10.1101/2020.08.12.248278

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