EcoLocator: Deep Learning Predicts Climate and Geographic Origins from Genomic Data

Researchers at the University of Oregon released a preprint introducing EcoLocator, a supervised deep learning method that jointly predicts climate origin and geographic location from genomic variation data to reveal local adaptation. Applied to Douglas fir genomes, it accurately predicted population climate origins, aiding conservation and forestry.

2026-09-20 ~ 2026-09-20 · 4 related posts

• EcoLocator: deep learning predicts geographic origin and climate from genotypes — pastramimachine · 2026-09-20
• EcoLocator: deep learning infers climate-of-origin and location from genetic data — pastramimachine · 2026-09-20
• EcoLocator simulations show strong performance in continuous and discrete spaces — pastramimachine · 2026-09-20
• EcoLocator ML method predicts climate-of-origin in Douglas Fir genomics, aiding forestry conservation — pastramimachine · 2026-09-20