T. Yuraszeck, P. Chang, K. Gayen, E. Kwei, H. Mirsky, and F.J. Doyle III, “Methods for In Silico Biology Model Construction and Analysis”, in System Biology in Drug Discovery and Development, D.L. Young and S. Michelson, Editors, Wiley, 2010.
H. Mirsky, J. Stelling, R. Gunawan, N. Bagheri, S.R. Taylor, E. Kwei, J.E. Shoemaker and F.J. Doyle III, “Automatic Control in Systems Biology”, in Handbook of Automation, S. Nof, Editor, Springer, 2009.
J.E. Shoemaker, P.S. Chang, E.C. Kwei, S.R. Taylor, and F.J. Doyle III, “Robustness and Sensitivity Analyses in Cellular Networks”, in Control Theory and Systems Biology, P. Iglesias, and B.P. Ingalls, Editors, MIT Press, 2009.
S. Hildebrandt, N. Bagheri, R. Gunawan, H. Mirsky, J. Shoemaker, S. Taylor, L. Petzold, and F.J. Doyle III, “Systems Analysis for Systems Biology”, in Systems Biomedicine, E. Liu, and D. Lauffenburger, Editors, Academic Press, 2009.
R.J. de Pontbriand, L.E. Allender, and F.J. Doyle III, “Temporal Regulation and Temporal Cognition: Biological and Psychological Aspects of Time Stress”, in Performance Under Stress, P.A. Hancock and J.L. Szalma, Editors, Ashgate, 2008.
F.J. Doyle III, M.A. Henson, B.A. Ogunnaike, J.S. Schwaber, and I. Rybak, “Neuronal Modeling of the Baroreceptor Reflex with Applications in Process Modeling and Control”, in Neural Networks for Control, D.L. Elliott, Editor, Springer Verlag, pp. 89-130, 1997.
J. Stelling, U. Sauer, F.J. Doyle III, and J. Doyle, “Complexity and Robustness of Cellular Systems”, in System Modeling in Cellular Biology, Z. Szallasi, V.Periwal and J. Stelling, Editors, Elsevier, 2005.
R. Gunawan, K. Gadkar, and F.J. Doyle III, “Methods to Identify Cellular Architecture and Dynamics from Experimental Data”, in System Modeling in Cellular Biology, Z. Szallasi, V.Periwal and J. Stelling, Editors, MIT Press, 2005.
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
Sansum Diabetes Research Institute
Our experimental collaborators, a research center devoted to the prevention, treatment and cure of diabetes http://www.sansum.org/
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
