Application of multi-omics data integration and machine learning approaches to identify epigenetic and transcriptomic differences between in vitro and in vivo produced bovine embryos

• Maria B. Rabaglino,

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

  Affiliation Quantitative Genetics, Bioinformatics and Computational Biology Group, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark

  https://orcid.org/0000-0002-0099-045X

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• Alan O’Doherty,

  Roles Resources, Writing – review & editing

  Affiliation School of Agriculture and Food Science, University College Dublin, Dublin, Ireland

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• Jan Bojsen-Møller Secher,

  Roles Writing – review & editing

  Affiliation Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark

  https://orcid.org/0000-0002-7399-7142

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• Patrick Lonergan,

  Roles Writing – review & editing

  Affiliation School of Agriculture and Food Science, University College Dublin, Dublin, Ireland

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• Poul Hyttel,

  Roles Writing – review & editing

  Affiliation Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark

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• Trudee Fair,

  Roles Resources, Writing – review & editing

  Affiliation School of Agriculture and Food Science, University College Dublin, Dublin, Ireland

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• Haja N. Kadarmideen

  Roles Conceptualization, Supervision, Writing – review & editing

  * E-mail: hajak@dtu.dk

  Affiliation Quantitative Genetics, Bioinformatics and Computational Biology Group, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark

  https://orcid.org/0000-0001-6294-382X

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