Kirschner Lab - Publications - Our approach to Uncertainty and Sensitivity Analysis (with R and MATLAB codes for use)


	Our approach to Uncertainty and Sensitivity Analysis (with R and MATLAB codes for use) Disclaimer: The reprints available here are provided for your personal use only and may not be used for any commercial purpose without prior written permissions from the paper's publisher and author. The violation is subject to the U.S. Copyright Act of 1976, Title 17 U.S.C. Marissa Renardy, Louis R. Joslyn, Jess A. Millar, Denise E. Kirschner, To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications, Volume 337, July 2021, 108593, Mathematical Biosciences, DOI: 10.1016/j.mbs.2021.108593, PMID: 33865847, PMCID: 8184610, Supplementary Material: Appendix Marissa Renardy, Caitlin Hult, Stephanie Evans, Jennifer J. Linderman, Denise E. Kirschner, Global sensitivity analysis of biological multi-scale models, September 2019, Volume 11, Pages 109-116, Current Opinion in Biomedical Engineering, DOI: 10.1016/j.cobme.2019.09.012, PMID: 32864523, PMCID: 7450543, Simeone Marino, Ian B. Hogue, Christian J. Ray, Denise E. Kirschner, A Methodology For Performing Global Uncertainty and Sensitivity Analysis in Systems Biology, Journal of Theoretical Biology, Vol 254, pp 178-196, 2008, DOI: doi:10.1016/j.jtbi.2008.04.011, PMID: 18572196, PMCID: 2570191, Supplementary Materials: Appendix A Uncertainty and sensitivity functions and implementation, as used for the paper (Matlab functions for PRCC and eFAST) Current ODE LHS PRCC implementation (see README.txt in the downloaded ZIP file for instructions) PRCC in R Errata Errata 2 - Table 1