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Elife|June 9, 2020
Predicting geographic location from genetic variation with deep neural networksC J Battey, Peter L Ralph, Andrew D KernGenetics|March 27, 2020
Space is the Place: Effects of Continuous Spatial Structure on Analysis of Population Genetic DataC J Battey, Peter L Ralph, Andrew D KernG3 (Bethesda, Md.)|February 9, 2021
Visualizing population structure with variational autoencodersC J Battey, Gabrielle C Coffing, Andrew D KernG3 (Bethesda, Md.)|January 17, 2024
Evaluating evidence for co-geography in the Anopheles-Plasmodium host-parasite systemClara T Rehmann, Peter L Ralph, Andrew D KernBiorxiv : the Preprint Server for Biology|February 17, 2023
Shared evolutionary processes shape landscapes of genomic variation in the great apesMurillo F Rodrigues, Andrew D Kern, Peter L RalphBiorxiv : the Preprint Server for Biology|July 28, 2023
Evaluating evidence for co-geography in the Anopheles-Plasmodium host-parasite systemClara T Rehmann, Peter L Ralph, Andrew D KernGenetics|January 19, 2024
Shared evolutionary processes shape landscapes of genomic variation in the great apesMurillo F Rodrigues, Andrew D Kern, Peter L RalphMolecular Ecology Resources|August 17, 2024
Estimation of spatial demographic maps from polymorphism data using a neural networkChris C R Smith, Gilia Patterson, Peter L Ralph, et al.Genetics|April 13, 2023
Dispersal inference from population genetic variation using a convolutional neural networkChris C R Smith, Silas Tittes, Peter L Ralph, et al.Molecular Biology and Evolution|June 19, 2025
Sweeps in Space: Leveraging Geographic Data to Identify Beneficial Alleles in Anopheles gambiaeClara T Rehmann, Scott T Small, Peter L Ralph, et al.Pageof 13