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Gregery T Buzzard

Showing results (1-10 of 30) with videos related to

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Mathematical Biosciences|May 1, 2018
Maximally informative next experiments for nonlinear modelsReginald L McGee, Gregery T Buzzard
Bulletin of Mathematical Biology|February 14, 2014
Experimental design for dynamics identification of cellular processesVu Dinh, Ann E Rundell, Gregery T Buzzard
Plos Computational Biology|September 18, 2015
Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical UncertaintyThembi Mdluli, Gregery T Buzzard, Ann E Rundell
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|January 8, 2013
Model-based design of experiments for cellular processesAnkush Chakrabarty, Gregery T Buzzard, Ann E Rundell
Plos Computational Biology|January 7, 2010
Modeling mitochondrial bioenergetics with integrated volume dynamicsJason N Bazil, Gregery T Buzzard, Ann E Rundell
BMC Genomics|November 9, 2012
Efficient calculation of steady state probability distribution for stochastic biochemical reaction networkShahriar Karim, Gregery T Buzzard, David M Umulis
Journal of the Royal Society, Interface|October 21, 2011
Secreted, receptor-associated bone morphogenetic protein regulators reduce stochastic noise intrinsic to many extracellular morphogen distributionsMohammad Shahriar Karim, Gregery T Buzzard, David M Umulis
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Specifying informative experiment stimulation conditions for resolving dynamical uncertainty in biological systemsThembi Mdluli, Michael Pargett, Gregery T Buzzard, et al.
Journal of Theoretical Biology|June 12, 2010
A bioenergetic model of the mitochondrial population undergoing permeability transitionJason N Bazil, Gregery T Buzzard, Ann E Rundell
IEEE Transactions on Bio-Medical Engineering|February 1, 2008
Computationally efficient strategy for modeling the effect of ion current modifiersDavid G Rand, Qinlian Zhou, Gregery T Buzzard, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Mathematical Biosciences|May 1, 2018
Maximally informative next experiments for nonlinear modelsReginald L McGee, Gregery T Buzzard
Bulletin of Mathematical Biology|February 14, 2014
Experimental design for dynamics identification of cellular processesVu Dinh, Ann E Rundell, Gregery T Buzzard
Plos Computational Biology|September 18, 2015
Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical UncertaintyThembi Mdluli, Gregery T Buzzard, Ann E Rundell
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|January 8, 2013
Model-based design of experiments for cellular processesAnkush Chakrabarty, Gregery T Buzzard, Ann E Rundell
Plos Computational Biology|January 7, 2010
Modeling mitochondrial bioenergetics with integrated volume dynamicsJason N Bazil, Gregery T Buzzard, Ann E Rundell
BMC Genomics|November 9, 2012
Efficient calculation of steady state probability distribution for stochastic biochemical reaction networkShahriar Karim, Gregery T Buzzard, David M Umulis
Journal of the Royal Society, Interface|October 21, 2011
Secreted, receptor-associated bone morphogenetic protein regulators reduce stochastic noise intrinsic to many extracellular morphogen distributionsMohammad Shahriar Karim, Gregery T Buzzard, David M Umulis
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Specifying informative experiment stimulation conditions for resolving dynamical uncertainty in biological systemsThembi Mdluli, Michael Pargett, Gregery T Buzzard, et al.
Journal of Theoretical Biology|June 12, 2010
A bioenergetic model of the mitochondrial population undergoing permeability transitionJason N Bazil, Gregery T Buzzard, Ann E Rundell
IEEE Transactions on Bio-Medical Engineering|February 1, 2008
Computationally efficient strategy for modeling the effect of ion current modifiersDavid G Rand, Qinlian Zhou, Gregery T Buzzard, et al.
Pageof 3