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The Role of Dimensionality in Understanding Granuloma Formation., , , , и . Comput., 6 (4): 58 (2018)A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection., и . Comput., 4 (4): 39 (2016)In silico evaluation and exploration of antibiotic tuberculosis treatment regimens., , , и . BMC Syst. Biol., (2015)Differences in Reactivation of Tuberculosis Induced from Anti-TNF Treatments Are Based on Bioavailability in Granulomatous Tissue., , , , , , и . PLoS Comput. Biol., (2007)Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome., , , , , , , , и . PLoS Comput. Biol., (2016)A methodology for performing global uncertainty and sensitivity analysis in systems biology., , , и . Journal of theoretical biology, 254 (1): 178--196 (07.09.2008)A multi-scale approach to designing therapeutics for tuberculosis., , , , и . Integrative biology : quantitative biosciences from nano to macro, 7 (5): 591--609 (11.05.2015)Understanding the Immune Response in Tuberculosis Using Different Mathematical Models and Biological Scales., , , , и . Multiscale Model. Simul., 3 (2): 312-345 (2005)Identification of Key Processes that Control Tumor Necrosis Factor Availability in a Tuberculosis Granuloma., , , , и . PLoS Comput. Biol., (2010)A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination., , , , , , и . PLoS Comput. Biol., (2020)