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2020 – today
- 2023
[j15]Pariksheet Nanda, Denise E. Kirschner:
Calibration methods to fit parameters within complex biological models. Frontiers Appl. Math. Stat. 9 (2023)- [j14]Maral Budak
, Joseph M. Cicchese, Pauline Maiello, H. Jacob Borish, Alexander G. White, Harris B. Chishti, Jaime Tomko, L. James Frye, Daniel Fillmore, Kara Kracinovsky, Jennifer Sakal, Charles A. Scanga, Philana Ling Lin, Véronique Dartois, Jennifer J. Linderman, JoAnne L. Flynn, Denise E. Kirschner:
Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens. PLoS Comput. Biol. 19(6) (2023) - 2020
- [j13]Timothy Wessler, Louis R. Joslyn, H. Jacob Borish, Hannah P. Gideon, JoAnne L. Flynn, Denise E. Kirschner, Jennifer J. Linderman:
A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination. PLoS Comput. Biol. 16(5) (2020) - [j12]Stephanie Evans, J. Russell Butler, Joshua T. Mattila, Denise E. Kirschner:
Systems biology predicts that fibrosis in tuberculous granulomas may arise through macrophage-to-myofibroblast transformation. PLoS Comput. Biol. 16(12) (2020)
2010 – 2019
- 2018
- [j11]Simeone Marino, Caitlin Hult, Paul Wolberg, Jennifer J. Linderman, Denise E. Kirschner:
The Role of Dimensionality in Understanding Granuloma Formation. Comput. 6(4): 58 (2018) - 2017
- [j10]Elsje Pienaar, Jansy Sarathy, Brendan Prideaux, Jillian Dietzold, Véronique Dartois, Denise E. Kirschner, Jennifer J. Linderman:
Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach. PLoS Comput. Biol. 13(8) (2017) - 2016
- [j9]Simeone Marino, Denise E. Kirschner:
A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection. Comput. 4(4): 39 (2016) - [j8]Simeone Marino, Hannah P. Gideon, Chang Gong, Shawn Mankad, John T. McCrone, Philana Ling Lin, Jennifer J. Linderman, JoAnne L. Flynn, Denise E. Kirschner:
Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome. PLoS Comput. Biol. 12(4) (2016) - 2015
- [j7]Elsje Pienaar, Véronique Dartois, Jennifer J. Linderman, Denise E. Kirschner:
In silico evaluation and exploration of antibiotic tuberculosis treatment regimens. BMC Syst. Biol. 9: 79 (2015) - 2010
- [j6]Mohammad Fallahi-Sichani, Matthew A. Schaller, Denise E. Kirschner, Steven L. Kunkel, Jennifer J. Linderman:
Identification of Key Processes that Control Tumor Necrosis Factor Availability in a Tuberculosis Granuloma. PLoS Comput. Biol. 6(5) (2010)
2000 – 2009
- 2009
- [c1]Roshan M. D'Souza, Mikola Lysenko, Simeone Marino, Denise E. Kirschner:
Data-parallel algorithms for agent-based model simulation of tuberculosis on graphics processing units. SpringSim 2009 - 2007
- [j5]Jose L. Segovia-Juarez, Silvano Colombano, Denise E. Kirschner:
Identifying DNA splice sites using hypernetworks with artificial molecular evolution. Biosyst. 87(2-3): 117-124 (2007) - [j4]Simeone Marino, Dhruv Sud, Hillarie Plessner, Philana Ling Lin, John Chan, JoAnne L. Flynn, Denise E. Kirschner:
Differences in Reactivation of Tuberculosis Induced from Anti-TNF Treatments Are Based on Bioavailability in Granulomatous Tissue. PLoS Comput. Biol. 3(10) (2007) - 2006
- [j3]Stewart T. Chang, Debashis Ghosh, Denise E. Kirschner, Jennifer J. Linderman:
Peptide length-based prediction of peptide-MHC class II binding. Bioinform. 22(22): 2761-2767 (2006) - 2005
- [j2]David Gammack, Suman Ganguli, Simeone Marino, Jose L. Segovia-Juarez, Denise E. Kirschner:
Understanding the Immune Response in Tuberculosis Using Different Mathematical Models and Biological Scales. Multiscale Model. Simul. 3(2): 312-345 (2005)
1990 – 1999
- 1996
- [j1]Denise E. Kirschner:
A Diffusion Model for AIDS in a Closed, Heterosexual Population: Examining Rates of Infection. SIAM J. Appl. Math. 56(1): 143-166 (1996)
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