Detection of adaptive divergence in populations of the stream mayfly Ephemera strigata with machine learning
Bin Li, Sakiko Yaegashi, Thaddeus M Carvajal, Maribet Gamboa, Kozo Watanabe
This study uses machine learning to detect adaptive divergence in Ephemera strigata populations, finding higher resolution in Random Forest compared to traditional methods and identifying altitudinal adaptation.
bioRxiv · Sep 23, 2018 · PreprintEvolutionary Biology