A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song
This paper introduces an exchangeable neural network framework for likelihood-free inference in population genetics, demonstrating superior performance on recombination hotspot testing.
bioRxiv · Nov 5, 2018 · PreprintEvolutionary Biology