A general framework for predicting the transcriptomic consequences of non-coding variation and small molecules

• Moustafa Abdalla ,

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

  * E-mail: moustafa_abdalla@hms.harvard.edu (MA); mohamed.abdalla@mail.utoronto.ca (MA)

  Affiliations Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom, Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, Computational Statistics and Machine Learning, Department of Statistics, University of Oxford, Oxford, United Kingdom, Department of Surgery, Harvard Medical School, Boston, Massachusetts, United States of America

  https://orcid.org/0000-0002-2481-9753

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• Mohamed Abdalla

  Roles Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Visualization, Writing – review & editing

  * E-mail: moustafa_abdalla@hms.harvard.edu (MA); mohamed.abdalla@mail.utoronto.ca (MA)

  Affiliations Vector Institute for Artificial Intelligence, Toronto, Canada, Department of Computer Science, University of Toronto, Toronto, Canada

  https://orcid.org/0000-0002-2776-6036

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