Search Results - Uhrmacher, John

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  1. 1
    Correlates of Quantitative Measurement of BK Polyomavirus (BKV) DNA with Clinical Course of BKV Infection in Renal Transplant Patients

    Correlates of Quantitative Measurement of BK Polyomavirus (BKV) DNA with Clinical Course of BKV Infection in Renal Transplant Patients by RANDHAWA, Parmjeet, HO, Andrew, SHAPIRO, Ron, VATS, Abhay, SWALSKY, P, FINKELSTEIN, Sydney, UHRMACHER, John, WECK, Karen

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  2. 2
    A comparative study of BK and JC virus infections in organ transplant recipients

    A comparative study of BK and JC virus infections in organ transplant recipients by Randhawa, Parmjeet, Uhrmacher, John, Pasculle, William, Vats, Abhay, Shapiro, Ron, Eghtsead, Bijan, Weck, Karen

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  3. 3
    F5 Sequence Variant Identified in 7 Patients Evaluated for Hypercoagulable State with a Factor V (FV) HR2 Assay

    F5 Sequence Variant Identified in 7 Patients Evaluated for Hypercoagulable State with a Factor V (FV) HR2 Assay by Leech, Margaret M., Bellissimo, Daniel B., Uhrmacher, John A., Gunawardena, Sriya W., Meyer, Michael J., Bontempo, Franklin A.

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  4. 4
    Elucidating the sources of β-catenin dynamics in human neural progenitor cells

    Elucidating the sources of β-catenin dynamics in human neural progenitor cells by Mazemondet, Orianne, John, Mathias, Leye, Stefan, Rolfs, Arndt, Uhrmacher, Adelinde M

    Published in PloS one
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  5. 5
    Constructing and visualizing chemical reaction networks from pi-calculus models

    Constructing and visualizing chemical reaction networks from pi-calculus models by John, Mathias, Schulz, Hans-Jörg, Schumann, Heidrun, Uhrmacher, Adelinde M., Unger, Andrea

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  6. 6
    Elucidating the Sources of [beta]-Catenin Dynamics in Human Neural Progenitor Cells

    Elucidating the Sources of [beta]-Catenin Dynamics in Human Neural Progenitor Cells by Mazemondet, Orianne, John, Mathias, Leye, Stefan, Rolfs, Arndt, Uhrmacher, Adelinde M

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  7. 7
    Integrating diverse reaction types into stochastic models - A signaling pathway case study in the Imperative π-Calculus

    Integrating diverse reaction types into stochastic models - A signaling pathway case study in the Imperative π-Calculus by Mazemondet, O., John, M., Maus, C., Uhrmacher, A.M., Rolfs, A.

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  8. 8
    Combining micro and macro-modeling in DEVS for computational biology

    Combining micro and macro-modeling in DEVS for computational biology by Uhrmacher, A.M., Ewald, R., John, M., Maus, C., Jeschke, M., Biermann, S.

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  9. 9
    A Spatial Extension to the π Calculus

    A Spatial Extension to the π Calculus by John, Mathias, Ewald, Roland, Uhrmacher, Adelinde M.

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  10. 10
    Challenges for Modeling and Simulation Methods in Systems Biology

    Challenges for Modeling and Simulation Methods in Systems Biology by Sauro, H.M., Harel, D., Uhrmacher, A.M., Hucka, M., Kwiatkowska, M., Shaffer, C.A., Mendes, P., Stromback, L., Tyson, J.J.

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  11. 11
    Visual support for modeling and simulation of cell biological systems

    Visual support for modeling and simulation of cell biological systems by Unger, A., Biermann, S., John, M., Uhrmacher, A., Schumann, H.

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  12. 12
    Visual support for modeling and simulation of cell biological systems

    Visual support for modeling and simulation of cell biological systems by Unger, Andrea, Biermann, Susanne, John, Mathias, Uhrmacher, Adelinde, Schumann, Heidrun

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  13. 13
    Integrating diverse reaction types into stochastic models: a signaling pathway case study in the imperative π-calculus

    Integrating diverse reaction types into stochastic models: a signaling pathway case study in the imperative π-calculus by Mazemondet, Orianne, John, Mathias, Maus, Carsten, Uhrmacher, Adelinde M., Rolfs, Arndt

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  14. 14
    Challenges for modeling and simulation methods in systems biology

    Challenges for modeling and simulation methods in systems biology by Sauro, Herbert M., Harel, David, Kwiatkowska, Marta, Shaffer, Clifford A., Uhrmacher, Adelinde M., Hucka, Michael, Mendes, Pedro, Strömback, Lena, Tyson, John J.

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  15. 15
    Combining micro and macro-modeling in DEVS for computational biology

    Combining micro and macro-modeling in DEVS for computational biology by Uhrmacher, Adelinde M., Ewald, Roland, John, Mathias, Maus, Carsten, Jeschke, Matthias, Biermann, Susanne

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