EcoLocator: deep learning infers climate-of-origin and location from genetic data
pastramimachine · x · 2026-09-20
A new preprint led by PhD student Jordan introduces EcoLocator, a state-of-the-art deep learning method that jointly predicts climate-of-origin and geographic location from genetic variation data. The goal is to uncover local adaptation in populations through joint prediction of environmental covariates and geography. Follow-up replies note extensive simulations validating strong performance in both continuous and discrete space scenarios—a solid AI-for-science application in population genetics.
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