Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering

• Theresa Ullmann ,

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

  * E-mail: tullmann@ibe.med.uni-muenchen.de

  Affiliations Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, München, Germany, Munich Center for Machine Learning (MCML), München, Germany

  https://orcid.org/0000-0003-1215-8561

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• Stefanie Peschel,

  Roles Methodology, Software, Visualization, Writing – review & editing

  Affiliations Institute for Asthma and Allergy Prevention, Helmholtz Zentrum München, Neuherberg, Germany, Department of Statistics, Ludwig-Maximilians-Universität München, München, Germany

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• Philipp Finger,

  Roles Methodology, Writing – review & editing

  Affiliation Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, München, Germany

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• Christian L. Müller ,

  Contributed equally to this work with: Christian L. Müller, Anne-Laure Boulesteix

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

  Affiliations Department of Statistics, Ludwig-Maximilians-Universität München, München, Germany, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany, Center for Computational Mathematics, Flatiron Institute, New York, New York, United States of America

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• Anne-Laure Boulesteix

  Contributed equally to this work with: Christian L. Müller, Anne-Laure Boulesteix

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

  Affiliations Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, München, Germany, Munich Center for Machine Learning (MCML), München, Germany

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