Predicting functional effects of ion channel variants using new phenotypic machine learning methods

• Christian Malte Boßelmann,

  Roles Formal analysis, Methodology, Software, Visualization, Writing – original draft

  Affiliations Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany, Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany

  https://orcid.org/0000-0002-1596-5599

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• Ulrike B. S. Hedrich,

  Roles Validation, Writing – review & editing

  Affiliation Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany

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• Holger Lerche ,

  Contributed equally to this work with: Holger Lerche, Nico Pfeifer

  Roles Resources, Supervision, Writing – review & editing

  * E-mail: holger.lerche@med.uni-tuebingen.de (HL); nico.pfeifer@uni-tuebingen.de (NP)

  Affiliation Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany

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• Nico Pfeifer

  Contributed equally to this work with: Holger Lerche, Nico Pfeifer

  Roles Formal analysis, Resources, Supervision, Writing – review & editing

  * E-mail: holger.lerche@med.uni-tuebingen.de (HL); nico.pfeifer@uni-tuebingen.de (NP)

  Affiliations Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany, Institute for Bioinformatics and Medical Informatics, University of Tuebingen, Tuebingen, Germany

  https://orcid.org/0000-0002-4647-8566

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