On the use of generative models for evolutionary inference of malaria vectors from genomic data
Amelia Adibe Eneli, Pui Chung Siu, Manolo F. Perez, Austin Burt, Matteo Fumagalli, Sara Mathieson
This paper uses generative deep learning to infer the evolutionary history of malaria vectors in West Africa, finding that a migration model better explains population dynamics than a model without post-split migration.
bioRxiv · Jun 26, 2025 · PreprintGenomics