Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning.
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| Title: | Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. |
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| Authors: | Schmidt-Barbo P; Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland.; Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany., Kalweit G; Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany.; Neurorobotics Lab, University of Freiburg, Freiburg, Germany., Naouar M; Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany.; Neurorobotics Lab, University of Freiburg, Freiburg, Germany., Paschold L; Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany., Willscher E; Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany., Schultheiß C; Department of Biomedicine, Translational Immuno-Oncology, University Hospital Basel, Basel, Switzerland., Märkl B; Pathology, University Hospital Augsburg, Augsburg, Germany., Dirnhofer S; Pathology, University Hospital Basel, Basel, Switzerland., Tzankov A; Pathology, University Hospital Basel, Basel, Switzerland., Binder M; 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., Kalweit M; Collaborative Research Institute Intelligent Oncology (CRIION), Freiburg, Germany.; Neurorobotics Lab, University of Freiburg, Freiburg, Germany. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2024 Jul 02; Vol. 20 (7), pp. e1011570. Date of Electronic Publication: 2024 Jul 02 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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