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Plos Computational Biology|January 16, 2007
Both ligand- and cell-specific parameters control ligand agonism in a kinetic model of g protein-coupled receptor signalingTamara L Kinzer-Ursem, Jennifer J Linderman
Mathematical Biosciences and Engineering : MBE|March 27, 2015
A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomesChang Gong, Jennifer J Linderman, Denise Kirschner
Frontiers in Immunology|March 7, 2014
Harnessing the heterogeneity of T cell differentiation fate to fine-tune generation of effector and memory T cellsChang Gong, Jennifer J Linderman, Denise Kirschner
Drug Metabolism and Disposition: the Biological Fate of Chemicals|October 15, 2021
Simulating the Selection of Resistant Cells with Bystander Killing and Antibody Coadministration in Heterogeneous Human Epidermal Growth Factor Receptor 2-Positive TumorsBruna Menezes, Jennifer J Linderman, Greg M Thurber
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|January 4, 2011
A multifaceted approach to modeling the immune response in tuberculosisSimeone Marino, Jennifer J Linderman, Denise E Kirschner
Plos One|May 11, 2018
Emergence and selection of isoniazid and rifampin resistance in tuberculosis granulomasElsje Pienaar, Jennifer J Linderman, Denise E Kirschner
Methods in Molecular Biology (Clifton, N.J.)|September 10, 2010
Reconstructing transcriptional regulatory networks using three-way mutual information and Bayesian networksWeijun Luo, Peter J Woolf
Current Opinion in Systems Biology|February 5, 2019
A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatmentDenise Kirschner, Elsje Pienaar, Simeone Marino, et al.
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