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Conditional robustness analysis for fragility discovery and target identification in biochemical networks and in cancer systems biology.

, , , , , and . BMC Syst. Biol., (2015)

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Robust Calibration of High Dimension Nonlinear Dynamical Models for Omics Data: An Application in Cancer Systems Biology., , , and . IEEE Trans. Contr. Sys. Techn., 28 (1): 196-207 (2020)Erratum to: 'Conditional robustness analysis for fragility discovery and target identification in biochemical networks and in cancer systems biology'., , , , , and . BMC Syst. Biol., (2016)An approach for optimally extending mathematical models of signaling networks using omics data., , , , and . EMBC, page 6501-6504. IEEE, (2015)Dynamical modeling, calibration and robustness analysis of COVID-19 using Italian data., , , , and . BIBE, page 452-457. IEEE, (2020)An approach to the conditional robustness problem for biochemical networks., , and . ACC, page 3417-3424. IEEE, (2014)CRA toolbox: software package for conditional robustness analysis of cancer systems biology models in MATLAB., , , and . BMC Bioinform., 20 (1): 385:1-385:19 (2019)Conditional robustness analysis for fragility discovery and target identification in biochemical networks and in cancer systems biology., , , , , and . BMC Syst. Biol., (2015)A New Bayesian Methodology for Nonlinear Model Calibration in Computational Systems Biology., , , and . Frontiers Appl. Math. Stat., (2020)Dynamic Modeling and Parameter Identification for Biological Networks: Application to the DNA Damage and Repair Processes., , and . Handbook of Research on Computational and Systems Biology, IGI Global, (2011)Information Technology as Tools for Cancer Registry and Regional Cancer Network Integration., , , , and . IEEE Trans. Syst. Man Cybern. Part A, 42 (6): 1410-1424 (2012)