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Following is a listing of some publications, categorized as books, reviews, applications, modeling theory, optimization, parameter estimation, recasting, and statistics. Of course there is overlap among these areas, so that many of the publications listed could fall into more than one category.

Click here for full bibliography.


New Book:



Voit, E.O.: The Inner Workings of Life: Vignettes in Systems Biology. Cambridge University Press, 2016.

Books


This new book addresses the educated lay public. It consists of 20 easy-to-read (maybe even fun-to-read) short stories about topics like complexity, -omics, and emergence. For more details see "News" and http://cambridge.org/9781316604427


Other Books:


Voit, E.O.: A First Course in Systems Biology. Garland Science, New York, NY, 2012, xiv+445pp.

Books



Voit, E.O. (ed): Canonical Nonlinear Modeling. S-System Approach to Understanding Complexity, xi+365 pp., Van Nostrand Reinhold, NY, 1991.

Voit, E.O.: Computational Analysis of Biochemical Systems. A Practical Guide for Biochemists and Molecular Biologists, xii + 530 pp., Cambridge University Press, Cambridge, U.K., 2000. (Available in Chinese)

Torres, N.V., and E.O. Voit: Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, Cambridge, U.K., 2002. (Available in Chinese)

Books


Shiraishi, F.: BST: Biochemical Systems Theory. 2007. In Japanese.

Shiraishi_Book


Goel, G.: Reconstructing Biochemical Systems. Systems Modeling and Analysis Tools for Decoding Biological Designs. VDM Verlag Dr. Müller, Saarbrücken, Germany, 2008.

Goel_Book



Reviews and Editorials:


Voit, E.O.: Biochemical Systems Theory: A review. Int. Scholarly Res. Network (ISRN – Biomathematics), Article 897658, pp. 1-53, 2013.

Qi, Z. and E.O.Voit: Systems biology provides new tools for addressing Parkinson’s disease. Advances in Parkinson’s Disease 2(3), 69, 2013.

Voit, E.O., W.C. Newstetter, and M.L. Kemp: A feel for systems, Mol. Syst. Biol. 8, 609, 2012

Voit, E.O.: What if the fit is unfit? Criteria for biological systems estimation beyond residual errors. In: M. Dehmer, F. Emmert-Streib and A. Salvador (Eds.): Applied Statistics for Biological Networks. J. Wiley and Sons, New York, pp. 183-200, 2011.

Qi, Z., G.W. Miller, and E.O. Voit. Mathematical Models in Schizophrenia. Chapter 14 in Volume I of: M.S. Ritsner (Ed.):Textbook of Schizophrenia Spectrum Disorders. Springer Verlag, New York, 2011.

Marin-Sanguino, A., S. K. Gupta, E.O. Voit, and J. Vera: Biochemical pathway modeling tools for drug target detection in cancer and other complex diseases. Methods in Enzymology, 487, 321-372, 2010.

Chou, I-C. and E.O. Voit: Recent developments in parameter estimation and structure identification of biochemical and genomic systems. Math. Biosc. 219, 57-83, 2009.

Vodovotz, Y., G. Constantine, J. Rubin, M. Csete, E.O. Voit, and G. An: Mechanistic simulations of inflammation: Current state and future prospects. Math. Biosc. 217, 1-10, 2009.

Voit, E.O., F. Alvarez-Vasquez, and Y.A. Hannun: Computational Analysis of Sphingolipid Pathway Systems. In: C. Chalfant and M. Del Poeta: Sphingolipids as Signaling and Regulatory Molecules, Landes Bioscience, Austin, TX, 2009.

Voit. E.O., Z. Qi, and G.W. Miller: Modeling Complex Biological Systems, One Step at a Time. Pharmacopsychiatry 41(Suppl. 1): S78-S84, 2008.

Voit, E.O. and S.R. Veflingstad: Systems biology as an inspiration for mechatronics. J. Biomechatronics Engng. 1(1), 55-69, 2008.

Voit, E.O.: Modeling Networks using Power-Laws and S-Systems. In: O. Wolkenhauer (Ed.) Systems Biology, Essays in Biochemistry Series, Vol. 45, Portland Press, pp. 29-40, 2008.

Veflingstad, S., P. Dam, Y. Xu, and E. O. Voit: Microbial Pathway Models. In: Y. Xu and J.P. Gogarten (Eds.) Computational Methods for Understanding Bacterial and Archaeal Genomes, Imperial College Press, London, U.K., pp. 315-344, 2008.

Feinendegen, L., P. Hahnfeldt, E.E. Schadt, M. Stumpf, and E.O. Voit: Systems biology and its potential role in radiobiology. Radiation and Environmental Biophysics 47(1), 5-23, 2008.

Voit, E.O. and J.H. Schwacke: Understanding through Modeling. In: A.K. Konopka (Ed.) Systems Biology: Principles, Methods, and Concepts. CRC Press / Taylor & Francis Books, Boca Raton, pp. 27-82, 2007.

Sims, K.J., F. Alvarez-Vasquez, E.O. Voit and Y.A. Hannun: A guide to biochemical systems modeling of sphingolipids for the biochemist. Methods in Enzymology, 432, 319-350, 2007.

Voit, E.O.: Design and operation: Keys to understanding biological systems. in: A. Deustch, J. Howard, M. Falcke, and W. Zimmermann (Eds.), Function and Regulation of Cellular Systems: Experiments and Models, Birkhäuser-Verlag, Basel, 2004.

Voit, E.O.: The Dawn of a New Era of Metabolic Systems Analysis, Drug Discovery Today BioSilico 2(5), 182-189, 2004.

Voit, E.O.: Design principles and operating principles: The Yin and Yang of optimal functioning. Math. Biosc. 182, 81-92, 2003.

Voit, E.O.: Models-of-data and models-of processes in the post-genomic era. Special Issue in honor of John A. Jacquez (invited). Math. Biosc. 180, 263-274, 2002.

Voit, E.O.: Metabolic modeling: A tool of drug discovery in the post-genomic era. Drug Discovery Today 7(11), 621-628, 2002.

Voit, E.O.: Canonical modeling: A review of concepts with emphasis on environmental health (invited). Environmental Health Perspectives, 108, Suppl. 5: Mathematical Modeling in Environmental Health Studies, 895-909, 2000.

Voit, E.O. and N.V. Torres: Canonical modeling of complex pathways in biotechnology. Recent Res. Devel. in Biotech. and Bioeng. 1, 321-341, 1998.

Voit, E.O.: Canonical modeling: a link between environmental models and statistics, Austrian J. Stats. 27, 109-121, 1998.

Voit, E.O.: Tutorial on the structure of S-systems. Tutorials of the Iizuka '96 4th International Conference on Soft Computing, Iizuka, Fukuoka, Japan, September 30-October 1, 1996.


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Applications:


Qi, Z., G.W. Miller and E.O. Voit: Rotenone and paraquat perturb dopamine metabolism: a computational analysis of pesticide toxicity. Toxicology 314, 92-101, 2014.

Qi, Z., F. Tretter, and E.O. Voit: A heuristic model of alcohol dependence. PLoS One, 9(3): e92221, 2014.

Qi, Z. and E.O. Voit: Identification of Cancer Mechanisms through Forward Engineering Computational Systems Modeling. Transl. Cancer Res. (in press).

S. Kikuchi and E.O. Voit: Regulatory Crosstalk Analysis of Biochemical Networks in the Hippocampus and Nucleus Accumbens. In C. Béla and A. Prokop (Eds.) Systems Biology. Springer Science and Business Media, Dordrecht, 2013 (in press).

Lee, Y., L. Escamilla-Treviño, R.A. Dixon, and E.O. Voit: Functional Analysis of Metabolic Channeling and Regulation in Lignin Biosynthesis: A Computational Approach. PLoS Comp. Biol. 8, 11, 2012.

Chen, P.-W., L.L. Fonseca, Y.A. Hannun, and E.O. Voit: Coordination of rapid sphingolipid responses to heat stress in yeast. PLoS Comp. Biol. 9(5): e1003078, 2013.

Yin, W., and E.O. Voit: Function and design of the Nox1 system in vascular smooth muscle cells. BMC Syst. Biol. 7:20, 2013.

Carvalho, A.L., D.L. Turner, L. L. Fonseca, A. Solopova, T. Catarino, O.P. Kuipers, E.O. Voit, A.R. Neves, and H. Santos: Metabolic analysis of the effect of acid stress in Lactococcus lactis, with a focus on the kinetics of lactic acid pools. PLoS ONE 8(7): e68470, 2013.

Fonseca, L.L., P.W. Chen, and E.O. Voit: Canonical modeling of the multi-scale regulation of the heat stress response in yeast. Metabolites 2(1), 221-241, 2012.

Alvarez-Vasquez, F., H. Riezman, E. O. Voit, and Y. A. Hannun. Mathematical modeling and validation of the ergosterol pathway in Saccharomyces cerevisiae. PLoS One 6(12): e28344, 2011.

Qi, Z., S. Kikuchi, F. Tretter, and E.O. Voit: Effects of dopamine and glutamate on synaptic plasticity: A computational modeling approach for drug abuse as comorbidity in mood disorders. Pharmacopsychiatry 44(Suppl. 1): S62-S75, 2011.

Lee, Y., F. Chen, L. Gallego-Giraldo, R.A. Dixon, and E.O. Voit: Integrative analysis of transgenic alfalfa (Medicago sativa L.) suggests new metabolic control mechanisms for monolignol biosynthesis, PLoS Comp. Biol. 7(5): e1002047. doi:10.1371, 2011.

Fonseca, L.L., C. Sánchez, H. Santos, and E.O. Voit: Complex coordination of multi-scale cellular responses to environmental stress. Mol. BioSyst. 7 (3), 731 - 741; DOI:10.1039/C0MB00102C, 2011.

Voit, E.O., F. Alvarez-Vasquez, and Y.A. Hannun: Computational analysis of sphingolipid pathway systems. Adv Exp Med Biol. 688: 264-275, 2010.

Qi, Z., G. W. Miller, and E. O. Voit: Internal state of medium spiny neurons varies in response to different input signals. BMC Systems Biology 4:26, 2010.

Qi, Z., G. W. Miller, and E. O. Voit: Computational modeling as a tool for assessing different dopamine hypotheses of schizophrenia. Pharmacopsychiatry 43(Suppl. 1): 550-560, 2010.

Wu, Jialiang, Z. Qi, and E.O. Voit: Investigation of delays and noise in dopamine signaling with hybrid functional Petri nets. In Silico Biol. 10, 0005, 2010.

Qi, Z., G. W. Miller, and E. O. Voit: Internal state of medium spiny neurons varies in response to different input signals. BMC Systems Biology 4:26, 2010.

Yin, W., H. Jo, and E.O. Voit: Systems analysis of the role of bone morphogenic protein 4 in endothelial inflammation. Ann. Biomed. Eng. 38(2): 291-307, 2010.

Qi, Z., G. W. Miller, and E. O. Voit: Computational analysis of determinants of dopamine dysfunction. Synapse 63: 1133-1142, 2009.

Qi, Z., G. W. Miller, and E. O. Voit: A mathematical model of presynaptic dopamine homeostasis: Implications for schizophrenia. Pharmacopsychiatry 41(Suppl. 1): S89-S98, 2008.

Weitz, J.S., Y. Mileyko, R.I. Joh, and E.O. Voit: Collective decision making in bacterial viruses. Biophys. J. 95(6), 2673-2680, 2008.

Garcia, J., J. Shea, F. Alvarez-Vasquez, A. Qureshi, C. Luberto, E. O. Voit, and M. Del Poeta: Mathematical modeling of pathogenicity of Cryptococcus neoformans. Molecular Systems Biology. 4:183, 2008.

Voit, E. O. and K. L. Brigham: The role of systems biology in predictive health and personalized medicine. The Open Path. J. 2, 68-70, 2008.

Schwacke, J.H., and E.O. Voit: The potential for signal integration and processing in interacting MAP kinase cascades. J. Theor. Biol. 246(4), 604-620, 2007.

Chou, I-C., H. Martens, and E.O. Voit: Parameter Estimation of S-distributions with Alternating Regression. Stat. Operations Res. Transactions (SORT), 31(1), 55-74. 2007.

Schwacke, J.H., and E.O. Voit: Concentration-dependent effects on the rapid and efficient activation of MAPK. Proteomics 7(6), 890-899, 2007.

Voit, E.O., A.R. Neves, and H. Santos. The Intricate Side of Systems Biology. PNAS, 103(25), 9452-9457, 2006.

Voit, E.O., J.S. Almeida, S. Marino, R. Lall, G. Goel, A.R. Neves, and H. Santos. Regulation of Glycolysis in Lactococcus lactis: An Unfinished Systems Biological Case Study. IEE Proc. Systems Biol. 153, 286-298, 2006.

Alvarez-Vasquez, F., K. J. Sims, Y. Okamoto, E. O. Voit, and Y. A. Hannun. Simulation and Evaluation of de novo Sphingolipid Fluxes in S. cerevisiae. Nature Jan 27; 433(7024): 425-430, 2005.

Alvarez-Vasquez, F., K.J. Sims, Y.A. Hannun, and E.O. Voit: Integration of kinetic information on yeast sphingolipid metabolism in dynamical pathway models. J. Theor. Biol. 226, 265-291, 2004.

Ferreira, A.E.N., A. Ponces, and E.O. Voit: A quantitative model of the generation of N -(carboxymethyl)lysine in the Maillard reaction between collagen and glucose. Biochem. J. 376(1), 109-121, 2003.

Voit, E.O.: Biochemical and genomic regulation of the trehalose cycle in Saccharomyces cerevisiae. J. Theor. Biol., 223, 55-78, 2003.

Voit, E.O., and T. Radivoyevitch: Biochemical systems analysis of genome-wide expression data, Bioinformatics 16(11), 1023-1037, 2000.

Voit, E.O.: Utility of Biochemical System Theory for the analysis of metabolic effects from low-dose chemical exposure, Risk Analysis 20(3), 393-402, 2000.

Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Analysis of abnormalities in purine metabolism leading to gout and to neurological dysfunctions in man, Biochem. J. 329, 477-487, 1998.

Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Mathematical models of purine metabolism in man, Math. Biosc. 151, 1-49, 1998.

Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Validation and steady-state analysis of a power-law model of purine metabolism, Biochem. J. 324, 761-775, 1997.

Berg, P.H., E.O. Voit, and R. White: A pharmacodynamic model for the action of the antibiotic Imipenem on Pseudomonas in vitro. Bull. Math. Biol. 58 (5), 923-938, 1996.

Voit, E.O., and P.J. Sands: Modeling forest growth. II. Biomass partitioning in Scots pine. Ecol. Modeling 86, 73-89, 1996.

Voit, E.O., and P.J. Sands: Modeling forest growth. I. Canonical approach. Ecol. Modeling 86, 51-71, 1996.

Voit, E.O.: Dynamics of self-thinning plant stands. Ann. Bot. 62, 67-78, 1988.

Voit, E.O. and M.A. Savageau: Power-law approach to modeling biological systems; II. Application to ethanol production. J. Ferment. Technol. 60 (3), 229-232, 1982.


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Modeling Theory:


Shiraishi, F., E. Yoshida, and E. O. Voit: An efficient and very accurate method for calculating steady-state sensitivities in metabolic reaction systems. IEEE Trans. Comp. Bio. Bioinfo. (in press).

Voit, E.O., Z. Qi, and S. Kikuchi: Mesoscopic models of biomedical systems as intermediates between disease simulators and tools for discovering design principles: Dopamine-related diseases as case study. Pharmacopsychiatry 45 (S1), S22-S30, 2012,

Chou, I-C., and E.O. Voit: Estimation of dynamic flux profiles from metabolic time series data, BMC Syst. Biol. 6: 84, 2012.

Wu, J., B. Vidakovic, and E. O. Voit: Constructing stochastic models from deterministic process equations by propensity adjustment. BMC Syst. Biol. 5:187, 2011.

Lee, Y., P.-W. Chen, and E.O. Voit: Analysis of operating principles with S-system models. Math. Biosc. 231, 49-60, 2011.

Ndukum, J. L.L. Fonseca, H. Santos, E.O. Voit, and S. Datta: Statistical inference methods for sparse biological time series data. BMC Syst. Biol. 5:57, 2011.

Marin-Sanguino, A., E. R. Mendoza, and E.O. Voit: Flux duality in non-linear GMA systems: Implications for metabolic engineering. J. Biotechn., 149(3), 166-172, 2010.

Machina, A., A. Ponosov, and E.O. Voit: Automated piecewise power-law modeling of biological systems. J. Biotechn., 149(3), 154-165, 2010.

Wu, J. and E.O. Voit: Integrative biological systems modeling: Challenges and opportunities. Frontiers of Computer Science in China. 3(1), 92-100, 2009.

Voit, E.O.: A systems-theoretical framework for health and disease. Math. Biosc. 217, 11-18, 2009.

del Rosario, R.C.H., E. Mendoza, and E.O. Voit: Challenges in lin-log modeling of glycolysis in Lactococcus lactis. IET Systems Biol. 2(3), 136-149, 2008.

Alvarez-Vasquez, F., Y. A. Hannun, and E. O. Voit. Dynamics of positional enrichment: Theoretical development and application to carbon labeling in Zymomonas mobilis. Biochem. Eng. J. 40(1), 157-174, 2008.

Yin, W. and E. O. Voit: Construction and customization of stable oscillation models in biology. J. Biol. Systems 16(4), 463-478, 2008.

Wang, F.-S, C.-L. Ko and E. O. Voit: Kinetic Modeling Using S-systems and Lin-log Approaches. Biochem. Eng. J. 33, 238-247 2007.

Voit, E.O. Smooth bistable S-systems. IEE Proc. Systems Biol. 152, 207-213, 2005.

Mocek, W.T. and E.O. Voit: Approximation of delays in biochemical systems. Math. Biosc. 198, 190-216, 2005.

Ervadi-Radhakrishnan, A., and E.O. Voit: Controllability of nonlinear biochemical systems. Math. Biosc. 196, 99-123, 2005.

Schwacke, J.H., and E.O. Voit: Computation and analysis of time-dependent sensitivities in generalized mass action systems. J. Theor. Biol. 236(1), 21-38, 2005.

Schwacke, J.H., and E.O. Voit: Improved Methods for the Mathematically Controlled Comparison of Biochemical Systems. BMC Theoretical Biology and Medical Modelling 1:1, 2004.

Voit, E.O., F. Alvarez-Vasquez, and K.J. Sims: Analysis of dynamic labeling data. Math. Biosc. 191(1), 83-99, 2004.

Shiraishi, F. and E.O. Voit: Solution of a two-point boundary value model of immobilized enzyme reactions, using an S-system based root-finding method. Appl. Math. and Computation, 127, 289-310, 2002.

Voit, E.O., and A.E.N. Ferreira: Buffering in models of integrated biochemical systems, J. Theor. Biol., 191, 429-438, 1998.

Zhang, Z., Voit, E.O. and H. Zhang: A fast algorithm for computing Lie series solutions of autonomous differential equations. Int. J. Computer Math. 53, 237-251, 1994.

Voit, E.O.: S-system modeling of complex systems with chaotic input. Environmetrics 4(2), 153-186, 1993.

Voit, E.O.: Symmetries of S-systems. Mathem. Biosc. 109, 19-37, 1992.

Savageau, M.A., E.O. Voit, and D.H. Irvine: Biochemical systems theory and metabolic control theory. II. The role of summation and connectivity relationships. Mathem. Biosci. 86, 147-169, 1987.

Savageau, M.A., E.O. Voit, and D.H. Irvine: Biochemical systems theory and metabolic control theory. I. Fundamental similarities and differences. Mathem. Biosci. 86, 127-145, 1987.

Voit, E.O. and M.A. Savageau: Accuracy of alternative representations for integrated biochemical systems. Biochemistry 26, 6869-6880, 1987.

Voit, E.O. and M.A. Savageau: Analytical solutions to a generalized growth equation. J. Mathem. Anal. Appl. 103 (2), 380-386, 1984.

Voit, E.O. and M.A. Savageau: Power-law approach to modeling biological systems; III. Methods of analysis. J. Ferment. Technol. 60 (3), 233-241, 1982.


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Parameter Estimation:


Voit, E.O.: Characterizability of metabolic pathway systems from time series data. Math. Biosc. 246(2):315-25, 2013.

Iwata, M., F. Shiraishi, and E.O. Voit: Coarse but efficient identification of metabolic pathway systems. Int. J. Syst. Biol. 4(1), 57-72, 2013.

Chou, I-C., and E.O. Voit: Estimation of dynamic flux profiles from metabolic time series data, BMC Syst. Biol. 6:84, 2012.

Voit, E.O. and I-C. Chou: Parameter estimation in canonical biological systems models. Int. J. Syst. Synth. Biol. 1(1), 1-19, 2010.

Vilela, M., S. Vinga, M. A. Grivet Mattoso Maia, E. O. Voit, J. S. Almeida: Identification of neutral sets of biochemical systems models from time series data. BMC Systems Biology 3:47, 2009.

Ko, C.-L., E.O. Voit, and F.-S. Wang: Estimating parameters for generalized mass action models with connectivity information. BMC Bioinformatics. 10:140, 2009.

Voit, E.O., G. Goel , I-C. Chou, and L. da Fonseca: Estimation of metabolic pathway systems from different data sources. IET Systems Biol. 3(6), 513-522, 2009.

Goel, G., I-C. Chou, and E.O. Voit: System estimation from metabolic time series data. Bioinformatics 24, 2505-2511, 2008.

Vilela, M., I-C.Chou, S. Vinga, A.T.R Vasconcelos, E.O. Voit, and J.S. Almeida: Parameter optimization in S-system models. BMC Systems Biol. 16; 2:35, 2008.

Vilela, M., C. Borges, A. T. Vasconcelos, H. Santos, E. O. Voit. and J. S. Almeida: Automated smoother for numerical decoupling of dynamic models. BMC Bioinformatics 8:305, 2007.

Chou, I-C., H. Martens, and E.O. Voit. Parameter Estimation in Biochemical Systems Models with Alternating Regression. BMC Theoretical Biology and Medical Modelling, 2006.

Marino, S. and E.O. Voit: An automated procedure for the extraction of metabolic network information from time series data. J. Bioinform. Comp. Biol. 4, 665-691, 2006.

Lall, R. and E.O. Voit: Parameter Estimation in Modulated, Unbranched Reaction Chains within Biochemical Systems. J. Comput. Biol. Chem. 29, 309-318 (2005).

Voit, E.O., S. Marino, and R. Lall: Challenges for the identification of metabolic pathways from time series data. In Silico Biology 5, 83-92 (2005).

Veflingstad, S.R., J.S. Almeida, and E.O. Voit: Priming nonlinear searches for pathway identification. BMC Theoretical Biology and Medical Modelling 1:8, 2004.

Voit, E.O., and J.S. Almeida: Decoupling dynamical systems for pathway identification from metabolic profiles. Bioinformatics 20(11),1670-1681, 2004.

Sands, P.J., and E.O. Voit: Flux-based estimation of parameters in S-systems. Ecol. Modeling 93, 75-88, 1996.

Berg, P.H., E.O. Voit, and R. White: A pharmacodynamic model for the action of the antibiotic Imipenem on Pseudomonas in vitro. Bull. Math. Biol. 58 (5), 923-938, 1996.


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Optimization in Biotechnology:


Polisetty, P.K., E.O. Voit, and E. P. Gatzke: Yield optimization of regulated metabolic systems using deterministic methods. Biotech. Bioengin. 99(5), 1154-1169, 2008.

Marin-Sanguino, A., E.O. Voit, C. Gonzalez-Alcon, and N.V. Torres: Optimization of biotechnological systems through geometric programming. Theoretical Biology and Medical Modelling 4:38, 2007.

Polisetty, P.K., E.O. Voit, and E. P. Gatzke: Identification of metabolic system parameters using global optimization methods. BMC Theoretical Biology and Medical Modelling, 3(1):4, 2006.

Polisetty, P.K., E.O. Voit, E.P. Gatzke: Yield Optimization of Saccharomyces cerevisiae using a GMA Model and a MILP-based piecewise linear relaxation method. Proceedings of: Foundations of Systems Biology in Engineering, Santa Barbara, CA, August 7-10, 2005.

Voit, E.O. and E.P. Gatzke: Modeling of metabolic systems using global optimization methods. Proceedings of Adchem: International Symposium on Advanced Control of Chemical Processes, Hong Kong, January 11-14, 2004.

Long, C.E., E.O. Voit, and E.P. Gatzke: A mixed integer horizon formulation for prioritized objective inferential control of a bioprocess system. Proceedings of the American Control Conference, June 4-6, 2003, Denver, CO.

Torres, N.V., F. Alvarez-Vasquez, and E.O. Voit: Optimization of biotechnological processes with S-system models. Methodology and applications to fungal metabolism. In: D. K. Arora (Ed.) Handbook of Fungal Biotechnology (2th edition). Marcel Dekker, Inc. New York, 2002.

Voit, E.O. and M. Del Signore: Assessment of effects of experimental imprecision on optimized biochemical systems, Biotech. Bioengin. 74(5), 443-448, 2001.

Voit, E.O. and N.V. Torres: Canonical modeling of complex pathways in biotechnology (Invited review). Recent Res. Devel. in Biotech. and Bioeng. 1, 321-341, 1998.

Torres, N.V., F. Rodríguez, C. Glez-Alcón, and E.O. Voit: A novel approach to designing an overexpression strategy for metabolic engineering. Application to the carbohydrate metabolism in the citric acid producing mould Aspergillus niger, Food Techn. and Biotechn., 36, 177-184, 1998.

Torres, N.V., E.O. Voit, C. Glez-Alcón, and F. Rodríguez: An indirect optimization method for biochemical systems. Description of method and application to ethanol, glycerol and carbohydrate production in Saccharomyces cerevisiae, Biotechn. Bioengin. 55(5), 758-772, 1997.

Torres, N. V., E.O. Voit, and C. H. Alcón: Optimization of nonlinear biotechnological processes with linear programming. Application to citric acid production in Aspergillus niger. Biotechn. Bioengin. 49, 247-258, 1996.

Torres, N.V., C. González-Alcón, and E.O. Voit: Optimization of metabolic systems with linear programming. Application to biotechnological processes. in: T. Yamakawa and G. Matsumoto, Methodologies for the Conception, Design, and Application of Intelligent Systems, World Scientific, Singapore, 1996, pp. 171-174.

Voit, E.O.: Optimization in integrated biochemical systems. Biotechn. Bioengin. 40, 572-582, 1992.


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Statistics with S-systems:


Chou, I-C., H. Martens, and E.O. Voit: Parameter estimation of S-distributions with alternating regression. Stat. Operations Res. Transactions (SORT), 31(1), 55-74. 2007.

Yu, L., and E.O. Voit: Construction of bivariate S-distributions with copulas. Comp. Stat. Data Anal. in press.

Sorribas, A., J.M. Muiño, and E.O.Voit: GS-distributions: a new family of distributions for continuous unimodal variables. Comp. Stat. Data Anal. in press.

He, Q. and E.O. Voit: Estimation and completion of survival data with piecewise linear models and S-distributions. J. Stat. Comp. Simul. 75(4), 287-305 (2005).

Voit, E.O.: A maximum likelihood estimator for the shape parameters of S-distributions, Biometr. J., 42 (4), 471-479, 2000.

Voit, E.O., and L.H. Schwacke: Random number generation from right-skewed, symmetric, and left-skewed distribution, Risk Analysis 20(1): 59-71, 2000.

Sorribas, A., J. March, and E.O. Voit: Estimating age-related trends in cross-sectional studies using S-distributions, Stats. in Med. 10(5): 697-713, 2000.

Thompson, R.E., E.O. Voit, and G.I. Scott: Statistical modeling of sediment and oyster PAH contamination data collected at a South Carolina estuary (complete and left-censored samples), Environmetrics 11: 99-115, 2000.

Voit, E.O., and A. Sorribas: Computer modeling of dynamically changing distributions of random variables, Mathem. and Computer Modelling 31, 217-225, 2000.

Voit, E.O.: Canonical modeling: a link between environmental models and statistics, Austrian J. Stats. 27, 109-121, 1998.

Voit, E.O., and L.H. Schwacke: Scalability properties of the S-distribution, Biometrical J., 40, 665-684, 1998.

Voit, E.O., and R.G. Knapp: Derivation of the linear-logistic model and Cox's proportional hazard model from a canonical system description. Stats. in Med. 16, 1705-1729, 1997.

Voit, E.O.: Dynamic trends in distributions. Biometrical J. 38 (5), 587-603, 1996.

Balthis, W.L., and E.O. Voit, and G.M. Meaburn: Setting prediction limits for mercury concentrations in fish having high bioaccumulation potential, Environmetrics 7, 429-439, 1996.

Voit, E.O., W. L. Balthis, and R. A. Holser: Hierarchical Monte Carlo Modeling with S-distributions: Concepts and illustrative analysis of mercury contamination in king mackerel. Environm. Intnl., 21, 627-635, 1995.

Yu, S., and E.O. Voit: A simple, flexible failure model. Biometrical J. 37, 595-609, 1995.

Voit, E.O., and S. Yu: The S-distribution. Approximation of discrete distributions. Biometrical J. 36, 205-219, 1994.

Voit, E.O.: The S-distribution. A tool for approximation and classification of univariate, unimodal probability distributions. Biometrical J. 34 (7), 855-878, 1992.

Voit, E.O., and P.F. Rust: Invited Tutorial: S-system analysis of continuous univariate probability distributions. J. Stat. Comp. Simul. 42, 187-249, 1992.

Voit, E.O. and P.F. Rust: Evaluation of the noncentral t distribution with S-systems. Biometrical J. 32(6), 681-695, 1990.

Rust, P.F. and E.O. Voit: Statistical densities, cumulatives, quantiles, and power obtained by S-system differential equations. J. Americ. Stat. Assoc. (JASA) 85 (410), 572-578, 1990.


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Recasting:


Voit, E.O., and P.F. Rust: Invited Tutorial: S-system analysis of continuous univariate probability distributions. J. Stat. Comp. Simul. 42, 187-249, 1992.

Voit, E.O.: Recasting nonlinear models as S-systems. Mathl. Comput. Modelling 11, 140-145, 1988.

Savageau, M.A. and E.O. Voit: Recasting nonlinear differential equations as S-systems: A canonical nonlinear form. Mathem. Biosci. 87, 83-115, 1987.

Voit, E.O. and M.A. Savageau: Equivalence between S-systems and Volterra-systems. Mathem. Biosci. 78, 47-55, 1986.


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