Showing 1 - 10 results of 10 for search 'T. Zerjatke', query time: 0.03s Refine Results
  1. 1
    TraCurate: Efficiently curating cell tracks

    TraCurate: Efficiently curating cell tracks by Sebastian Wagner, Konstantin Thierbach, Thomas Zerjatke, Ingmar Glauche, Ingo Roeder, Nico Scherf

    Published 2021-01-01
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  2. 2
    Paracrine mechanisms in early differentiation of human pluripotent stem cells: Insights from a mathematical model

    Paracrine mechanisms in early differentiation of human pluripotent stem cells: Insights from a mathematical model by Erika Gaspari, Annika Franke, Diana Robles-Diaz, Robert Zweigerdt, Ingo Roeder, Thomas Zerjatke, Henning Kempf

    Published 2018-10-01
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  3. 3
    P691: MODELLING OF IMMUNE RESPONSE IN CHRONIC MYELOID LEUKEMIA PATIENTS SUGGESTS POTENTIAL FOR TREATMENT REDUCTION PRIOR TO CESSATION

    P691: MODELLING OF IMMUNE RESPONSE IN CHRONIC MYELOID LEUKEMIA PATIENTS SUGGESTS POTENTIAL FOR TREATMENT REDUCTION PRIOR TO CESSATION by E. Karg, C. Baldow, T. Zerjatke, R. E. Clark, I. Roeder, A. C. Fassoni, I. Glauche

    Published 2022-06-01
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  4. 4
    Continuous therapy response references for BCR::ABL1 monitoring in pediatric chronic myeloid leukemia

    Continuous therapy response references for BCR::ABL1 monitoring in pediatric chronic myeloid leukemia by Christian Volz, Thomas Zerjatke, Andrea Gottschalk, Sabine Semper, Meinolf Suttorp, Ingmar Glauche, Manuela Krumbholz, Markus Metzler

    Published 2023-10-01
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  5. 5
    Modelling of immune response in chronic myeloid leukemia patients suggests potential for treatment reduction prior to cessation

    Modelling of immune response in chronic myeloid leukemia patients suggests potential for treatment reduction prior to cessation by Elena Karg, Christoph Baldow, Thomas Zerjatke, Richard E. Clark, Ingo Roeder, Ingo Roeder, Artur C. Fassoni, Ingmar Glauche

    Published 2022-12-01
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  6. 6
    Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions.

    Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions. by Katja Hoffmann, Anne Pelz, Elena Karg, Andrea Gottschalk, Thomas Zerjatke, Silvio Schuster, Heiko Böhme, Ingmar Glauche, Ingo Roeder

    Published 2023-05-01
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  7. 7
    PB1979: DATA INTEGRATION BETWEEN CLINICAL RESEARCH AND PATIENT CARE: A FRAMEWORK FOR CONTEXT-DEPENDING DATA SHARING AND IN SILICO PREDICTIONS

    PB1979: DATA INTEGRATION BETWEEN CLINICAL RESEARCH AND PATIENT CARE: A FRAMEWORK FOR CONTEXT-DEPENDING DATA SHARING AND IN SILICO PREDICTIONS by Katja Hoffmann, Anne Pelz, Elena Karg, Andrea Gottschalk, Thomas Zerjatke, Silvio Schuster, Heiko Böhme, Ingmar Glauche, Ingo Roeder

    Published 2023-08-01
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  8. 8
    Quantitative Cell Cycle Analysis Based on an Endogenous All-in-One Reporter for Cell Tracking and Classification

    Quantitative Cell Cycle Analysis Based on an Endogenous All-in-One Reporter for Cell Tracking and Classification by Thomas Zerjatke, Igor A. Gak, Dilyana Kirova, Markus Fuhrmann, Katrin Daniel, Magdalena Gonciarz, Doris Müller, Ingmar Glauche, Jörg Mansfeld

    Published 2017-05-01
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  9. 9
    How to predict relapse in leukemia using time series data: A comparative in silico study

    How to predict relapse in leukemia using time series data: A comparative in silico study by Helene Hoffmann, Christoph Baldow, Thomas Zerjatke, Andrea Gottschalk, Sebastian Wagner, Elena Karg, Sebastian Niehaus, Ingo Roeder, Ingmar Glauche, Nico Scherf

    Published 2021-01-01
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  10. 10
    How to predict relapse in leukemia using time series data: A comparative in silico study.

    How to predict relapse in leukemia using time series data: A comparative in silico study. by Helene Hoffmann, Christoph Baldow, Thomas Zerjatke, Andrea Gottschalk, Sebastian Wagner, Elena Karg, Sebastian Niehaus, Ingo Roeder, Ingmar Glauche, Nico Scherf

    Published 2021-01-01
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