Andrew D Kern

Predicting geographic location from genetic variation with deep neural networks

C J Battey, Peter L Ralph, Andrew D Kern, 2020, eLife.

A community-maintained standard library of population genetic models

Ilan Gronau, Jerome Kelleher, Ryan N Gutenkunst, 2020, eLife.

diploS/HIC: An Updated Approach to Classifying Selective Sweeps

Daniel R. Schrider, Andrew D Kern, Daniel R Schrider, 2018, G3: Genes, Genomes, Genetics.

Forces Shaping the Fastest Evolving Regions in the Human Genome

David Haussler, Sofie R Salama, Gill Bejerano, 2006, PLoS genetics.

Predicting the Landscape of Recombination Using Deep Learning

Jeffrey R. Adrion, Jared G. Galloway, Andrew D Kern, 2020, Molecular biology and evolution.

Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia

Daniel R. Schrider, Julien Ayroles, Andrew D Kern, 2017, bioRxiv.

Conservation and functional element discovery in 20 angiosperm plant genomes.

Andrew D Kern, A. Kern, Daniel N. Hupalo, 2013, Molecular biology and evolution.

Novel genes derived from noncoding DNA in Drosophila melanogaster are frequently X-linked and exhibit testis-biased expression.

Andrew D Kern, A. Kern, Corbin D. Jones, 2006, Proceedings of the National Academy of Sciences of the United States of America.

Evidence for de Novo Evolution of Testis-Expressed Genes in the Drosophila yakuba/Drosophila erecta Clade

Andrew D Kern, A. Kern, Corbin D. Jones, 2007, Genetics.

A population genetic hidden Markov model for detecting genomic regions under selection.

David Haussler, Andrew D Kern, D. Haussler, 2010, Molecular biology and evolution.