 Connection
David Bortz to Computer Simulation
This is a "connection" page, showing publications David Bortz has written about Computer Simulation.
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Connection Strength |
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1.037 |
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Heitzman-Breen N, Dukic V, Bortz DM. A Practical Identifiability Criterion Leveraging Weak-Form Parameter Estimation. Bull Math Biol. 2026 Mar 31; 88(5).
Score: 0.171
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Lyons R, Dukic V, Bortz DM. Learning structured population models from data with WSINDy. PLoS Comput Biol. 2025 Dec; 21(12):e1013742.
Score: 0.167
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Wentz JM, Mendenhall AR, Bortz DM. Pattern Formation in the Longevity-Related Expression of Heat Shock Protein-16.2 in Caenorhabditis elegans. Bull Math Biol. 2018 10; 80(10):2669-2697.
Score: 0.101
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Mirzaev I, Bortz DM. A numerical framework for computing steady states of structured population models and their stability. Math Biosci Eng. 2017 08 01; 14(4):933-952.
Score: 0.094
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Nardini JT, Chapnick DA, Liu X, Bortz DM. Modeling keratinocyte wound healing dynamics: Cell-cell adhesion promotes sustained collective migration. J Theor Biol. 2016 07 07; 400:103-17.
Score: 0.086
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Mirzaev I, Bortz DM. Laplacian Dynamics with Synthesis and Degradation. Bull Math Biol. 2015 Jun; 77(6):1013-45.
Score: 0.080
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Sircar S, Younger JG, Bortz DM. Sticky surface: sphere-sphere adhesion dynamics. J Biol Dyn. 2015; 9 Suppl 1:79-89.
Score: 0.077
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Curtis CW, Bortz DM. Propagation of fronts in the Fisher-Kolmogorov equation with spatially varying diffusion. Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Dec; 86(6 Pt 2):066108.
Score: 0.068
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Byrne E, Dzul S, Solomon M, Younger J, Bortz DM. Postfragmentation density function for bacterial aggregates in laminar flow. Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Apr; 83(4 Pt 1):041911.
Score: 0.061
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Bortz DM, Jackson TL, Taylor KA, Thompson AP, Younger JG. Klebsiella pneumoniae flocculation dynamics. Bull Math Biol. 2008 Apr; 70(3):745-68.
Score: 0.048
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Banks HT, Bortz DM. A parameter sensitivity methodology in the context of HIV delay equation models. J Math Biol. 2005 Jun; 50(6):607-25.
Score: 0.039
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Bortz DM, Nelson PW. Sensitivity analysis of a nonlinear lumped parameter model of HIV infection dynamics. Bull Math Biol. 2004 Sep; 66(5):1009-26.
Score: 0.038
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Banks HT, Bortz DM, Holte SE. Incorporation of variability into the modeling of viral delays in HIV infection dynamics. Math Biosci. 2003 May; 183(1):63-91.
Score: 0.009
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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