Christopher Jon Battey

Visualizing Population Structure with Variational Autoencoders

This paper uses variational autoencoders to visualize population genetic structure, showing better global geometry preservation than t-SNE and UMAP.

Predicting Geographic Location From Genetic Variation with Deep Neural Networks

The paper introduces a deep learning method called Locator to predict geographic locations from genetic variation, achieving high accuracy and speed across different species.

Space is the Place: Effects of Continuous Spatial Structure on Analysis of Population Genetic Data

This study investigates how continuous spatial structure affects population genetic analysis, finding biases in summary statistics, demographic inference, and GWAS when using discrete models.

Minor allele frequency thresholds strongly affect population structure inference with genomic datasets

This study shows that minor allele frequency thresholds impact population structure inference in genomic datasets through simulations and an empirical SNP dataset.