Planning identification experiments for cell signaling pathways: An NFκB case study
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|Dec 2010References
- Box, G. E. P. and Lucas, H. L. (1959). Design of experiments in nonlinear situations,(1/2): 77-90.
- Box, M. J. (1968). The occurrence of replications in optimal designs of experiments to estimate parameters in non-linear models,(2): 290-302.
- Chernoff, H. (1972)., SIAM, Philadelphia, PA.
- D'Argenio, D. Z. (1981). Optimal sampling times for pharmacokinetic experiments,(6): 739-756.
- de Jong, H. (2002). Modeling and simulation of genetic regulatory systems: A literature review,(1): 67-103.
- DiStefano, J. J. (1981). Optimized blood sampling protocols and sequential design of kinetic experiments,(240): R259-R265.
- Fedorov, V. V. (1972)., Academic Press, New York, NY.
- Fujarewicz, K. (2007). Planning identification experiments for cell signaling pathways using sensitivity analysis,, pp. 262-263.
- Fujarewicz, K. (2008). Optimal scheduling for parameter estimation of cell signaling pathway models—A gradient approach,, pp. 232-236.
- Fujarewicz, K. (2009). Planning identification experiments for nfkb signaling pathway,, pp. 64-53.
- Fujarewicz, K. and Galuszka, A. (2004). Generalized backpropagation through time for continuous time neural networks and discrete time measurements,L. Rutkowski, J. Siekmann, R. Tadeusiewicz and L. A. Zadeh (Eds.), Lecture Notes in Computer Science, Vol. 3070, Springer-Verlag, Berlin, pp. 190-196.
- Fujarewicz, K., Kimmel, M., Lipniacki, T. and Swierniak, A. (2007). Adjoint systems for models of cell signalling pathways and their application to parameter fitting,(3): 322-335.
- Goodwin, G. C. and Payne, R. L. (1977)., Academic Press, New York, NY.
- Hoffman, A., Levchenko, A., Scott, M. L. and Baltimore, D. (2002). The iκb-nf-κb signaling module: Temporal control and selective gene activation,: 1241-1245.
- Jacquez, J. (1998). Designs of experiments,(2).
- Jacquez, J. and Greif, P. (1985). Numerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling design,: 201-227.
- Kiefer, J. (1961). Optimum designs in regression problems, II.(1): 298-325.
- Kutalik, Z., Cho, K. and Wolkenhauer, O. (2004). Optimal sampling time selection for parameter estimation in dynamic pathway modeling,(1-3): 43-55.
- Lee, E., Boone, D., Chai, S., Libby, S., Chien, M., Lodolce, J. and Ma, A. (2000). Failure to regulate tnf-induced nf-κb and cell death responses in a20-deficient mice,(5488): 2350-2354.
- Lipniacki, T., Paszek, P., Brasier, A. R., Luxon, B. and Kimmel, M. (2004). Mathematical model of nf-κb regulatory module,(2): 195-215.
- Pronzato, L. and Walter, E. (1985). Robust experiment design via stochastic approximation,: 103-120.
- Tod, M. and Rocchisani, J. M. (1997). Comparison of ed, eid and api criteria for the robust optimization of sampling times in pharmacokinetics,(4): 515-537.
Language: English
Page range: 773 - 780
Published on: Dec 20, 2010
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
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© 2010 Krzysztof Fujarewicz, published by University of Zielona Góra
This work is licensed under the Creative Commons License.