Dnadna: a deep learning framework for population genetics inference

HIGHLIGHTS

  • who: Thu00e9ophile Sanchez and collaborators from the Universitu00e9, CNRS, INRIA, Laboratoire Interdisciplinaire Sciences du Numu00e9rique, Orsay, ENS have published the research: dnadna: a deep learning framework for population genetics inference, in the Journal: (JOURNAL)

SUMMARY

    In recent years, deep learning has been applied to biology with the hope of facilitating complex data analyses and information discovery, and methods are now flourishing in population genetics (Borowiec et_al, 2022). Previous studies have made their implementations available at least for reproducibility and sometimes with a specific effort for re-usability. Even so, each of them focuses . . .

     

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