Kirschner DE - Search Results

1

To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications.

Renardy M, Joslyn LR, Millar JA, Kirschner DE. Renardy M, et al. Among authors: kirschner de. Math Biosci. 2021 Jul;337:108593. doi: 10.1016/j.mbs.2021.108593. Epub 2021 Apr 16. Math Biosci. 2021. PMID: 33865847 Free PMC article.

2

A methodology for performing global uncertainty and sensitivity analysis in systems biology.

Marino S, Hogue IB, Ray CJ, Kirschner DE. Marino S, et al. Among authors: kirschner de. J Theor Biol. 2008 Sep 7;254(1):178-96. doi: 10.1016/j.jtbi.2008.04.011. Epub 2008 Apr 20. J Theor Biol. 2008. PMID: 18572196 Free PMC article. Review.

3

On the global dynamics of a model for tumor immunotherapy.

Kirschner D, Tsygvintsev A. Kirschner D, et al. Math Biosci Eng. 2009 Jul;6(3):573-83. doi: 10.3934/mbe.2009.6.573. Math Biosci Eng. 2009. PMID: 19566127 Free article.

4

Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models.

Kirschner DE, Hunt CA, Marino S, Fallahi-Sichani M, Linderman JJ. Kirschner DE, et al. Wiley Interdiscip Rev Syst Biol Med. 2014 Jul-Aug;6(4):289-309. doi: 10.1002/wsbm.1270. Epub 2014 May 9. Wiley Interdiscip Rev Syst Biol Med. 2014. PMID: 24810243 Free PMC article. Review.

5

A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.

Gong C, Linderman JJ, Kirschner D. Gong C, et al. Math Biosci Eng. 2015 Jun;12(3):625-42. doi: 10.3934/mbe.2015.12.625. Math Biosci Eng. 2015. PMID: 25811559 Free PMC article.

6

A multi-scale approach to designing therapeutics for tuberculosis.

Linderman JJ, Cilfone NA, Pienaar E, Gong C, Kirschner DE. Linderman JJ, et al. Among authors: kirschner de. Integr Biol (Camb). 2015 May;7(5):591-609. doi: 10.1039/c4ib00295d. Epub 2015 Apr 30. Integr Biol (Camb). 2015. PMID: 25924949 Free PMC article.

7

Low Levels of T Cell Exhaustion in Tuberculous Lung Granulomas.

Wong EA, Joslyn L, Grant NL, Klein E, Lin PL, Kirschner DE, Flynn JL. Wong EA, et al. Among authors: kirschner de. Infect Immun. 2018 Aug 22;86(9):e00426-18. doi: 10.1128/IAI.00426-18. Print 2018 Sep. Infect Immun. 2018. PMID: 29891540 Free PMC article.

8

Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.

Cicchese JM, Evans S, Hult C, Joslyn LR, Wessler T, Millar JA, Marino S, Cilfone NA, Mattila JT, Linderman JJ, Kirschner DE. Cicchese JM, et al. Among authors: kirschner de. Immunol Rev. 2018 Sep;285(1):147-167. doi: 10.1111/imr.12671. Immunol Rev. 2018. PMID: 30129209 Free PMC article. Review.

9

Integrating Non-human Primate, Human, and Mathematical Studies to Determine the Influence of BCG Timing on H56 Vaccine Outcomes.

Joslyn LR, Pienaar E, DiFazio RM, Suliman S, Kagina BM, Flynn JL, Scriba TJ, Linderman JJ, Kirschner DE. Joslyn LR, et al. Among authors: kirschner de. Front Microbiol. 2018 Aug 17;9:1734. doi: 10.3389/fmicb.2018.01734. eCollection 2018. Front Microbiol. 2018. PMID: 30177914 Free PMC article.

10

Data-Driven Model Validation Across Dimensions.

Renardy M, Wessler T, Blemker S, Linderman J, Peirce S, Kirschner D. Renardy M, et al. Bull Math Biol. 2019 Jun;81(6):1853-1866. doi: 10.1007/s11538-019-00590-4. Epub 2019 Mar 4. Bull Math Biol. 2019. PMID: 30830675 Free PMC article.

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