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Open Access
Peer-reviewed
Research Article
Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning
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Paul Schmidt-Barbo,
Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland, Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany
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Gabriel Kalweit,
Roles Formal analysis, Methodology, Software, Validation, Writing – review & editing
Affiliations Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany, Neurorobotics Lab, University of Freiburg, Freiburg, Germany
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Mehdi Naouar,
Roles Methodology, Software, Writing – review & editing
Affiliations Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany, Neurorobotics Lab, University of Freiburg, Freiburg, Germany
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Lisa Paschold,
Roles Resources, Writing – review & editing
Affiliation Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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Edith Willscher,
Roles Data curation, Resources, Writing – review & editing
Affiliation Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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Christoph Schultheiß,
Roles Resources, Validation, Writing – review & editing
Affiliation Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland
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Bruno Märkl,
Roles Resources, Writing – review & editing
Affiliation Pathology, University Hospital Augsburg, Augsburg, Germany
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Stefan Dirnhofer,
Roles Formal analysis, Resources, Writing – review & editing
Affiliation Pathology, University Hospital Basel, Basel, Switzerland
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Alexandar Tzankov,
Roles Formal analysis, Resources, Writing – review & editing
Affiliation Pathology, University Hospital Basel, Basel, Switzerland
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Mascha Binder ,
Contributed equally to this work with: Mascha Binder, Maria Kalweit
Roles Conceptualization, Formal analysis, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing
* E-mail: mascha.binder@unibas.ch
Affiliations Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland, Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany, Medical Oncology, University Hospital Basel, Basel, Switzerland
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Maria Kalweit
Contributed equally to this work with: Mascha Binder, Maria Kalweit
Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Writing – original draft, Writing – review & editing
Affiliations Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany, Neurorobotics Lab, University of Freiburg, Freiburg, Germany
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Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning
- Paul Schmidt-Barbo,
- Gabriel Kalweit,
- Mehdi Naouar,
- Lisa Paschold,
- Edith Willscher,
- Christoph Schultheiß,
- Bruno Märkl,
- Stefan Dirnhofer,
- Alexandar Tzankov,
- Mascha Binder
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- Published: July 2, 2024
- https://doi.org/10.1371/journal.pcbi.1011570