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All issues Volume 4 / No 1 (December 2016) EPJ Nonlinear Biomed Phys, 4 1 (2016) 3 References
Open Access
Issue
EPJ Nonlinear Biomed Phys
Volume 4, Number 1, December 2016
Article Number 3
Number of page(s) 23
DOI https://doi.org/10.1140/epjnbp/s40366-016-0030-z
Published online 10 May 2016
  1. Segel LA. Modeling Dynamic Phenomena in Molecular and Cellular Biology. Cambridge: Cambridge University Press; 1984. [Google Scholar]
  2. Möller Y, Siegemund M, Beyes S, Herr R, Lecis D, Delia D, Kontermann R, Brummer T, Pfizenmaier K, Olayioye M. EGFR-targeted TRAIL and a Smac mimetic synergize to overcome apoptosis resistance in KRAS mutant colorectal cancer cells. PLoS ONE. 2014; 9(9):e107165. [Google Scholar]
  3. Zinöcker S, Vaage J. Rat mesenchymal stromal cells inhibit T cell proliferation but not cytokine production through inducible nitric oxide synthase. Front Immunol. 2012; 3(62):1–13. [Google Scholar]
  4. Taylor SC, Posch A. The design of a quantitative Western blot experiment. BioMed Res Int. 2014; 2014:8. Article ID 361590. [Google Scholar]
  5. Degasperi A, Birtwistle MR, Volinsky N, Rauch J, Kolch W, Kholodenko BN. Evaluating strategies to normalize biological replicates of Western Blot data. PLoS ONE. 2014; 9(1):e87293. [Google Scholar]
  6. Kreutz C, Rodriguez MMB, Maiwald T, Seidl M, Blum HE, Mohr L, Timmer J. An error model for protein quantification. Bioinformatics. 2007; 23(20):2747–53. [Google Scholar]
  7. Thomaseth C, Radde N. Normalization of Western blot data affects the statistics of estimators. 2016. Submitted to FOSBE. [Google Scholar]
  8. Saltelli A, Tarantola S, Campolongo F, Ratto M. Sensitivity Analysis in Practice: a Guide to Assessing Scientific Models. Chichester: John Wiley & Sons; 2004. [Google Scholar]
  9. Frank PM. Introduction to System Sensitivity Theory. New York: Academic Press Inc; 1978. [Google Scholar]
  10. Zi Z. Sensitivity analysis approaches applied to systems biology models. IET Syst Biol. 2011; 5(6):336–46. [Google Scholar]
  11. Kim KA, Spencer SL, Albeck JG, Burke JM, Sorger PK, Gaudet S, Kim DH. Systematic calibration of a cell signaling network model. BMC Bioinf. 2010; 11(202):1–14. [Google Scholar]
  12. Kiparissides A, Kucherernko SS, Mantalaris A, Pistikopoulus EN. Global sensitivity analysis challenges in biological systems modeling. Ind Eng Chem Res. 2009; 48(15):7168–80. [Google Scholar]
  13. Kent E, Neumann S, Kummer U, Mendes P. What can we learn from global sensitivity analysis of biochemical systems?PLoS ONE. 2013; 8(11):e79244. [Google Scholar]
  14. Santos SDM, Verveer PJ, Bastiaens PIH. Growth factor-induced MAPK network topology shapes Erk response determining PC-12 cell fate. Nat Cell Biol. 2007; 9(3):324–30. [Google Scholar]
  15. Jensch A, Thomaseth C, Radde N. Sampling-based Bayesian approaches reveal the importance of quasi-bistable behavior in cellular decision making processes on the example of the MAPK signaling pathway in PC-12 cell lines. Under review. 2016. BMC Systems Biology (Under review). [Google Scholar]
  16. Saltelli A, Ratto M, Andres T, Campolongo F, Cariboni J, Gatelli D, Saisana M, Tarantola S. Global Sensitivity Analysis: The Primer. Hoboken, NJ: John Wiley & Sons; 2008. [Google Scholar]
  17. Sobol IM. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates. Math Comput Simul. 2001; 55:271–80. [Google Scholar]
  18. Zheng Y, Rundell A. Comparative study of parameter sensitivity analyses of the TCR-activated ERK-MAPK signalling pathway. IEE Proc Syst Biol. 2006; 153(4):201–11. [Google Scholar]
  19. Zhang XY, Trame MN, Lesko LJ, Schmidt S. Sobol sensitivity analysis: a tool to guide the development and evaluation of systems pharmacology models. CPT Pharmacometrics Syst Pharmacol. 2015; 4:69–79. [Google Scholar]
  20. Hinkley DV. On the ratio of two correlated normal random variables. Biometrika. 1969; 56(3):635–9. [Google Scholar]
  21. Marsaglia G. Ratios of normal variables. J Stat Softw. 2006; 16(4):1–10. [Google Scholar]
  22. Kholodenko B. Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascade. Eur J Biochem. 2000; 267(6):1583–88. [Google Scholar]
  23. Kolch W. Coordinating ERK/MAPK signalling through scaffolds and inhibitors. Nat Rev Mol Cell Biol. 2005; 6:827–37. [Google Scholar]
  24. Kolch W, Calder M, Gilbert D. When kinases meet mathematics: the systems biology of MAPK signalling. FEBS Lett. 2005; 579(8):1891–95. [Google Scholar]
  25. Gouzé JL. Positive and negative circuits in dynamical systems. J Biol Syst. 1998; 6(11):11–15. [Google Scholar]
  26. Saltelli A, Annoni P, Azzini I, Campolongo F, Ratto M, Tarantola S. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Comp Phys Comm. 2010; 181:259–70. [Google Scholar]
  27. Bilal N. Implementation of Sobol’s method of global sensitivity analysis to a compressor simulation model. In: 22nd Int. Compressor Eng. Conf. Purdue, USA: Purdue e-Pubs: 2014. [Google Scholar]