openRxiv
Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding
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Nguyen, K; Li, K; Flores, K; Tomaras, GD; Dennison, SM; McCarthy, JM
December 8, 2022
Duke Scholars
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Nguyen, K., Li, K., Flores, K., Tomaras, G. D., Dennison, S. M., & McCarthy, J. M. (2022). Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding. openRxiv. https://doi.org/10.1101/2022.12.05.519088
Nguyen, Kyle, Kan Li, Kevin Flores, Georgia D. Tomaras, S Moses Dennison, and Janice M. McCarthy. “Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding.” OpenRxiv, December 8, 2022. https://doi.org/10.1101/2022.12.05.519088.
Nguyen K, Li K, Flores K, Tomaras GD, Dennison SM, McCarthy JM. Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding. openRxiv. 2022.
Nguyen, Kyle, et al. “Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding.” OpenRxiv, 8 Dec. 2022. Crossref, doi:10.1101/2022.12.05.519088.
Nguyen K, Li K, Flores K, Tomaras GD, Dennison SM, McCarthy JM. Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding. openRxiv. 2022.