Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics

• Grace Avecilla,

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Department of Biology, New York University, New York, New York, United States of America, Center for Genomics and Systems Biology, New York University, New York, New York, United States of America

  https://orcid.org/0000-0003-1525-0873

  ⨯
• Julie N. Chuong,

  Roles Methodology

  Affiliations Department of Biology, New York University, New York, New York, United States of America, Center for Genomics and Systems Biology, New York University, New York, New York, United States of America

  https://orcid.org/0000-0002-4388-9458

  ⨯
• Fangfei Li,

  Roles Investigation

  Affiliation Department of Genetics, Stanford University, California, Stanford, United States of America

  ⨯
• Gavin Sherlock,

  Roles Supervision

  Affiliation Department of Genetics, Stanford University, California, Stanford, United States of America

  ⨯
• David Gresham ,

  Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

  * E-mail: dgresham@nyu.edu (DG); yoav@yoavram.com (YR)

  Affiliations Department of Biology, New York University, New York, New York, United States of America, Center for Genomics and Systems Biology, New York University, New York, New York, United States of America

  https://orcid.org/0000-0002-4028-0364

  ⨯
• Yoav Ram

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Supervision, Writing – review & editing

  * E-mail: dgresham@nyu.edu (DG); yoav@yoavram.com (YR)

  Affiliation School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel

  https://orcid.org/0000-0002-9653-4458

  ⨯