Published July 28, 2021
| Version 0.1.0
Dataset
Open
Datasets corresponding to publication: Machine learning assisted Real-time deformability cytometry of CD34+ cells allows to identify patients with Myelodysplastic Syndromes
Authors/Creators
- 1. Biotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany Tatzberg 47-49, 01307 Dresden Center for Regenerative Therapies (CRTD), Dresden, Germany Fetscherstraße 105, 01307 Dresden
- 2. Biotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany
- 3. Medical Department I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany Fetscherstr. 74, 01307 Dresden, Germany
- 4. Medical Department I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
- 5. Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
- 6. Zentrum für Innovationskompetenz: Humorale Immunreaktionen in kardiovaskulären Erkrankungen, Universität Greifswald, Greifswald, Germany
- 7. Department of Medicine III: Hematology and Oncology, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
- 8. Department of Medicine III: Hematology and Oncology, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- 9. Medical Department III, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
- 10. Medical Department III, University Hospital Carl Gustav Carus Dresden, Dresden, Germany German Cancer Consortium (DKTK), partner site Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany
- 11. Center for Regenerative Therapies (CRTD), Dresden, Germany
- 12. German Cancer Consortium (DKTK), partner site Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Hematology, Cellular Therapy and Hemostaseology, Leipzig University Hospital, Leipzig, Germany
Description
This repository contains all dataset that correspond to the publication "Machine learning assisted Real-time deformability cytometry of CD34+ cells allows to identify patients with Myelodysplastic Syndromes". Furthermore, Python scripts are provided which allow to reproduce all analyses shown in the manuscript. Execution of the scripts requires a Python environment with packages as stated in the Methods section of the manuscript, or by using PyBox 0.1.0. PyBox is a readily installed Python environment containing all packages at the required version. PyBox is publicly available on GitHub: https://github.com/maikherbig/PyBox.