EcoLocator ML method predicts climate-of-origin in Douglas Fir genomics, aiding forestry conservation
pastramimachine · x · 2026-09-20
The author presents EcoLocator, a machine learning method applied to genomic variation data from Douglas Fir that accurately predicts the climate-of-origin of populations, with practical utility for conservation and forestry.
Key points:
- SHAP attribution identifies individual SNPs contributing to local adaptation
- In the paper, EcoLocator outperforms several popular GEA (genotype-environment association) methods on the same task
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