A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response

• Evanthia Koukouli ,

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

  * E-mail: e.koukouli@lancaster.ac.uk

  Affiliation Department of Mathematics and Statistics, Fylde College, Lancaster University, Bailrigg, Lancaster, UK

  https://orcid.org/0000-0001-6545-911X

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• Dennis Wang,

  Roles Investigation, Validation, Visualization, Writing – review & editing

  Affiliations Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK, Department of Computer Science, University of Sheffield, Sheffield, UK

  https://orcid.org/0000-0003-0068-1005

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• Frank Dondelinger ,

  Contributed equally to this work with: Frank Dondelinger, Juhyun Park

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

  Affiliation Centre for Health Informatics and Statistics, Lancaster Medical School, Lancaster University, Bailrigg, Lancaster, UK

  https://orcid.org/0000-0003-1816-6300

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• Juhyun Park

  Contributed equally to this work with: Frank Dondelinger, Juhyun Park

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

  Affiliation Department of Mathematics and Statistics, Fylde College, Lancaster University, Bailrigg, Lancaster, UK

  https://orcid.org/0000-0001-7112-6493

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