Interpreting generative adversarial networks to infer natural selection from genetic data
{{output}}
Understanding natural selection and other forms of non-neutrality is a major focus for the use of machine learning in population genetics. Existing methods rely on computationally intensive simulated training data. Unlike efficient neutral coalescent simulatio... ...
