Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknown

• Klara Elisabeth Burger,

  Roles Conceptualization, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

  Affiliation Cluster of Excellence “Machine Learning: New Perspectives for Science”, University of Tübingen, Tübingen, Germany

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• Peter Pfaffelhuber,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Department of Mathematical Stochastics, University of Freiburg, Freiburg, Germany

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• Franz Baumdicker

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

  * E-mail: franz.baumdicker@uni-tuebingen.de

  Affiliations Cluster of Excellence “Machine Learning: New Perspectives for Science”, University of Tübingen, Tübingen, Germany, Cluster of Excellence “Controlling Microbes to Fight Infections”, Mathematical and Computational Population Genetics, University of Tübingen, Tübingen, Germany

  https://orcid.org/0000-0001-9106-7259

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