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Plos Computational Biology
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April 5, 2013
Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biology
Tina Toni, Bruce Tidor
Bioinformatics (Oxford, England)
|
November 3, 2009
Simulation-based model selection for dynamical systems in systems and population biology
Tina Toni, Michael P H Stumpf
Methods in Molecular Biology (Clifton, N.J.)
|
September 14, 2010
Parameter inference and model selection in signaling pathway models
Tina Toni, Michael P H Stumpf
Molecular Biosystems
|
October 3, 2009
The ABC of reverse engineering biological signalling systems
Maria Secrier, Tina Toni, Michael P H Stumpf
Biophysical Journal
|
May 6, 2008
Parameter inference for biochemical systems that undergo a Hopf bifurcation
Paul D W Kirk, Tina Toni, Michael P H Stumpf
Journal of the Royal Society, Interface
|
February 11, 2009
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Tina Toni, David Welch, Natalja Strelkowa, et al.
BMC Systems Biology
|
May 17, 2011
From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coli
Tina Toni, Goran Jovanovic, Maxime Huvet, et al.
Molecular Biosystems
|
May 5, 2012
Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection
Tina Toni, Yu-ichi Ozaki, Paul Kirk, et al.
Nature Protocols
|
January 25, 2014
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation
Juliane Liepe, Paul Kirk, Sarah Filippi, et al.
Plos Computational Biology
|
June 13, 2014
Model selection in systems biology depends on experimental design
Daniel Silk, Paul D W Kirk, Chris P Barnes, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Plos Computational Biology
|
April 5, 2013
Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biology
Tina Toni, Bruce Tidor
Bioinformatics (Oxford, England)
|
November 3, 2009
Simulation-based model selection for dynamical systems in systems and population biology
Tina Toni, Michael P H Stumpf
Methods in Molecular Biology (Clifton, N.J.)
|
September 14, 2010
Parameter inference and model selection in signaling pathway models
Tina Toni, Michael P H Stumpf
Molecular Biosystems
|
October 3, 2009
The ABC of reverse engineering biological signalling systems
Maria Secrier, Tina Toni, Michael P H Stumpf
Biophysical Journal
|
May 6, 2008
Parameter inference for biochemical systems that undergo a Hopf bifurcation
Paul D W Kirk, Tina Toni, Michael P H Stumpf
Journal of the Royal Society, Interface
|
February 11, 2009
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Tina Toni, David Welch, Natalja Strelkowa, et al.
BMC Systems Biology
|
May 17, 2011
From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coli
Tina Toni, Goran Jovanovic, Maxime Huvet, et al.
Molecular Biosystems
|
May 5, 2012
Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection
Tina Toni, Yu-ichi Ozaki, Paul Kirk, et al.
Nature Protocols
|
January 25, 2014
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation
Juliane Liepe, Paul Kirk, Sarah Filippi, et al.
Plos Computational Biology
|
June 13, 2014
Model selection in systems biology depends on experimental design
Daniel Silk, Paul D W Kirk, Chris P Barnes, et al.
Page
of 2