Hasil Pencarian - Frederik Graw

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  1. 1
    Deciphering the triad of infection, immunity and pathology

    Deciphering the triad of infection, immunity and pathology oleh Frederik Graw

    Diterbitkan 2021-09-01
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  2. 2
    Investigating CTL mediated killing with a 3D cellular automaton.

    Investigating CTL mediated killing with a 3D cellular automaton. oleh Frederik Graw, Roland R Regoes

    Diterbitkan 2009-08-01
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  3. 3
    Influence of the fibroblastic reticular network on cell-cell interactions in lymphoid organs.

    Influence of the fibroblastic reticular network on cell-cell interactions in lymphoid organs. oleh Frederik Graw, Roland R Regoes

    Diterbitkan 2012-01-01
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  4. 4
    More or less-On the influence of labelling strategies to infer cell population dynamics.

    More or less-On the influence of labelling strategies to infer cell population dynamics. oleh Michael Gabel, Roland R Regoes, Frederik Graw

    Diterbitkan 2017-01-01
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  5. 5
    Investigating the Dynamics of MCMV-Specific CD8+ T Cell Responses in Individual Hosts

    Investigating the Dynamics of MCMV-Specific CD8+ T Cell Responses in Individual Hosts oleh Michael Gabel, Nicolas S. Baumann, Annette Oxenius, Frederik Graw

    Diterbitkan 2019-06-01
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  6. 6
    Environmental Restrictions: A New Concept Governing HIV-1 Spread Emerging from Integrated Experimental-Computational Analysis of Tissue-Like 3D Cultures

    Environmental Restrictions: A New Concept Governing HIV-1 Spread Emerging from Integrated Experimental-Computational Analysis of Tissue-Like 3D Cultures oleh Samy Sid Ahmed, Nils Bundgaard, Frederik Graw, Oliver T. Fackler

    Diterbitkan 2020-04-01
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  7. 7
    FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics.

    FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics. oleh Michael Gabel, Tobias Hohl, Andrea Imle, Oliver T Fackler, Frederik Graw

    Diterbitkan 2019-08-01
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  8. 8
    Estimating the In Vivo Killing Efficacy of Cytotoxic T Lymphocytes across Different Peptide-MHC Complex Densities.

    Estimating the In Vivo Killing Efficacy of Cytotoxic T Lymphocytes across Different Peptide-MHC Complex Densities. oleh Victor Garcia, Kirsten Richter, Frederik Graw, Annette Oxenius, Roland R Regoes

    Diterbitkan 2015-05-01
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  9. 9
    Accounting for Space—Quantification of Cell-To-Cell Transmission Kinetics Using Virus Dynamics Models

    Accounting for Space—Quantification of Cell-To-Cell Transmission Kinetics Using Virus Dynamics Models oleh Peter Kumberger, Karina Durso-Cain, Susan L. Uprichard, Harel Dahari, Frederik Graw

    Diterbitkan 2018-04-01
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  10. 10
    Examining the Reticulocyte Preference of Two Plasmodium berghei Strains during Blood-Stage Malaria Infection

    Examining the Reticulocyte Preference of Two Plasmodium berghei Strains during Blood-Stage Malaria Infection oleh Neha Thakre, Priyanka Fernandes, Ann-Kristin Mueller, Ann-Kristin Mueller, Frederik Graw

    Diterbitkan 2018-02-01
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  11. 11
    Varying Immunizations With Plasmodium Radiation-Attenuated Sporozoites Alter Tissue-Specific CD8+ T Cell Dynamics

    Varying Immunizations With Plasmodium Radiation-Attenuated Sporozoites Alter Tissue-Specific CD8+ T Cell Dynamics oleh Roland Frank, Michael Gabel, Kirsten Heiss, Ann-Kristin Mueller, Ann-Kristin Mueller, Frederik Graw

    Diterbitkan 2018-05-01
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  12. 12
    A wall-time minimizing parallelization strategy for approximate Bayesian computation.

    A wall-time minimizing parallelization strategy for approximate Bayesian computation. oleh Emad Alamoudi, Felipe Reck, Nils Bundgaard, Frederik Graw, Lutz Brusch, Jan Hasenauer, Yannik Schälte

    Diterbitkan 2024-01-01
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  13. 13
    Revisiting estimates of CTL killing rates in vivo.

    Revisiting estimates of CTL killing rates in vivo. oleh Andrew Yates, Frederik Graw, Daniel L Barber, Rafi Ahmed, Roland R Regoes, Rustom Antia

    Diterbitkan 2007-12-01
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  14. 14
    A wall-time minimizing parallelization strategy for approximate Bayesian computation

    A wall-time minimizing parallelization strategy for approximate Bayesian computation oleh Emad Alamoudi, Felipe Reck, Nils Bundgaard, Frederik Graw, Lutz Brusch, Jan Hasenauer, Yannik Schälte

    Diterbitkan 2024-01-01
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  15. 15
    OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

    OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany oleh Stefan T. Radev, Frederik Graw, Simiao Chen, Nico T. Mutters, Vanessa M. Eichel, Till Bärnighausen, Ullrich Köthe

    Diterbitkan 2021-10-01
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  16. 16
    OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany.

    OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany. oleh Stefan T Radev, Frederik Graw, Simiao Chen, Nico T Mutters, Vanessa M Eichel, Till Bärnighausen, Ullrich Köthe

    Diterbitkan 2021-10-01
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  17. 17
    Influence of cell type specific infectivity and tissue composition on SARS-CoV-2 infection dynamics within human airway epithelium.

    Influence of cell type specific infectivity and tissue composition on SARS-CoV-2 infection dynamics within human airway epithelium. oleh Benjamin Raach, Nils Bundgaard, Marika J Haase, Jörn Starruß, Rocio Sotillo, Megan L Stanifer, Frederik Graw

    Diterbitkan 2023-08-01
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  18. 18
    HCV Spread Kinetics Reveal Varying Contributions of Transmission Modes to Infection Dynamics

    HCV Spread Kinetics Reveal Varying Contributions of Transmission Modes to Infection Dynamics oleh Karina Durso-Cain, Peter Kumberger, Yannik Schälte, Theresa Fink, Harel Dahari, Jan Hasenauer, Susan L. Uprichard, Frederik Graw

    Diterbitkan 2021-07-01
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  19. 19
    Inferring viral dynamics in chronically HCV infected patients from the spatial distribution of infected hepatocytes.

    Inferring viral dynamics in chronically HCV infected patients from the spatial distribution of infected hepatocytes. oleh Frederik Graw, Ashwin Balagopal, Abraham J Kandathil, Stuart C Ray, David L Thomas, Ruy M Ribeiro, Alan S Perelson

    Diterbitkan 2014-11-01
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  20. 20
    Can non-lytic CD8+ T cells drive HIV-1 escape?

    Can non-lytic CD8+ T cells drive HIV-1 escape? oleh Nafisa-Katrin Seich Al Basatena, Konstantinos Chatzimichalis, Frederik Graw, Simon D W Frost, Roland R Regoes, Becca Asquith

    Diterbitkan 2013-01-01
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