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Applying spartan to Understand Parameter Uncertainty in Simulations., , , , and . R J., 6 (2): 63 (2014)ASPASIA: A toolkit for evaluating the effects of biological interventions on SBML model behaviour., , , , , , and . PLoS Comput. Biol., (2017)Easing Parameter Sensitivity Analysis of Netlogo Simulations Using SPARTAN., , and . ALIFE, page 622-628. MIT Press, (2014)Towards Argument-Driven Validation of an in silico Model of Immune Tissue Organogenesis., , , , and . ICARIS, volume 6825 of Lecture Notes in Computer Science, page 66-70. Springer, (2011)Strategies for calibrating models of biology., , , and . Briefings Bioinform., 21 (1): 24-35 (2020)On Developing and Validating Dynamic Systems: Simulation Engineering., and . J. Object Technol., 19 (3): 3:1-13 (2020)Extending and Applying Spartan to Perform Temporal Sensitivity Analyses for Predicting Changes in Influential Biological Pathways in Computational Models., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (2): 431-442 (2017)Novel Approaches to the Visualization and Quantification of Biological Simulations by Emulating Experimental Techniques., , , , and . ALIFE, page 614-621. MIT Press, (2014)Why Compliance is needed for Internet of Things?, , and . ICSSA, page 66-71. IEEE, (2020)dConsensus: a tool for displaying domain assignments by multiple structure-based algorithms and for construction of a consensus assignment., , and . BMC Bioinform., (2010)