Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder

• Abrar E. Al-Shaer,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Nutrition Research Institute, Department of Nutrition, University of North Carolina at Chapel Hill, Kannapolis, North Carolina, United States of America

  http://orcid.org/0000-0001-7836-6844

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• George R. Flentke,

  Roles Investigation, Methodology, Resources, Software, Supervision

  Affiliation Nutrition Research Institute, Department of Nutrition, University of North Carolina at Chapel Hill, Kannapolis, North Carolina, United States of America

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• Mark E. Berres,

  Roles Data curation, Investigation, Methodology

  Affiliation Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America

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• Ana Garic,

  Roles Investigation, Methodology

  Affiliation Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America

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• Susan M. Smith

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

  * E-mail: susan_smith@unc.edu

  Affiliation Nutrition Research Institute, Department of Nutrition, University of North Carolina at Chapel Hill, Kannapolis, North Carolina, United States of America

  http://orcid.org/0000-0003-4782-6857

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