Hasil Pencarian - Darren R Tyson

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  1. 1
    A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase.

    A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase. oleh Zack W Jones, Rachel Leander, Vito Quaranta, Leonard A Harris, Darren R Tyson

    Diterbitkan 2018-01-01
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  2. 2
    Real-time luminescence enables continuous drug–response analysis in adherent and suspension cell lines

    Real-time luminescence enables continuous drug–response analysis in adherent and suspension cell lines oleh Clayton M. Wandishin, Charles John Robbins, Darren R. Tyson, Leonard A. Harris, Vito Quaranta

    Diterbitkan 2022-12-01
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  3. 3
    An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability.

    An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability. oleh Corey E Hayford, Darren R Tyson, C Jack Robbins, Peter L Frick, Vito Quaranta, Leonard A Harris

    Diterbitkan 2021-06-01
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  4. 4
    A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer

    A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer oleh Matthew T. McKenna, Jared A. Weis, Stephanie L. Barnes, Darren R. Tyson, Michael I. Miga, Vito Quaranta, Thomas E. Yankeelov

    Diterbitkan 2017-07-01
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  5. 5
    Systems-level network modeling of Small Cell Lung Cancer subtypes identifies master regulators and destabilizers.

    Systems-level network modeling of Small Cell Lung Cancer subtypes identifies master regulators and destabilizers. oleh David J Wooten, Sarah M Groves, Darren R Tyson, Qi Liu, Jing S Lim, Réka Albert, Carlos F Lopez, Julien Sage, Vito Quaranta

    Diterbitkan 2019-10-01
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  6. 6
    ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy

    ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy oleh Leonardo Rundo, Andrea Tangherloni, Darren R. Tyson, Riccardo Betta, Carmelo Militello, Simone Spolaor, Marco S. Nobile, Daniela Besozzi, Alexander L. R. Lubbock, Vito Quaranta, Giancarlo Mauri, Carlos F. Lopez, Paolo Cazzaniga

    Diterbitkan 2020-09-01
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