Related references
Note: Only part of the references are listed.Bridging Mechanistic and Phenomenological Models of Complex Biological Systems
Mark K. Transtrum et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
Perspective: Sloppiness and emergent theories in physics, biology, and beyond
Mark K. Transtrum et al.
JOURNAL OF CHEMICAL PHYSICS (2015)
Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical Uncertainty
Thembi Mdluli et al.
PLOS COMPUTATIONAL BIOLOGY (2015)
A Bayesian active learning strategy for sequential experimental design in systems biology
Edouard Pauwels et al.
BMC SYSTEMS BIOLOGY (2014)
Cause and cure of sloppiness in ordinary differential equation models
Christian Toensing et al.
PHYSICAL REVIEW E (2014)
Model Reduction by Manifold Boundaries
Mark K. Transtrum et al.
PHYSICAL REVIEW LETTERS (2014)
Near-optimal experimental design for model selection in systems biology
Alberto Giovanni Busetto et al.
BIOINFORMATICS (2013)
Use of the LQ model with large fraction sizes results in underestimation of isoeffect doses
Tommy Sheu et al.
RADIOTHERAPY AND ONCOLOGY (2013)
Parameter Space Compression Underlies Emergent Theories and Predictive Models
Benjamin B. Machta et al.
SCIENCE (2013)
Maximizing the Information Content of Experiments in Systems Biology
Juliane Liepe et al.
PLOS COMPUTATIONAL BIOLOGY (2013)
A Bayesian approach to targeted experiment design
J. Vanlier et al.
BIOINFORMATICS (2012)
Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study
Patrick Weber et al.
BIOINFORMATICS (2012)
Optimal experiment selection for parameter estimation in biological differential equation models
Mark K. Transtrum et al.
BMC BIOINFORMATICS (2012)
A Global Parallel Model Based Design of Experiments Method to Minimize Model Output Uncertainty
Jason N. Bazil et al.
BULLETIN OF MATHEMATICAL BIOLOGY (2012)
Structural susceptibility and separation of time scales in the van der Pol oscillator
Ricky Chachra et al.
PHYSICAL REVIEW E (2012)
EXPERIMENTAL DESIGN FOR BIOLOGICAL SYSTEMS
Matthias Chung et al.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION (2012)
Comment on Sloppy models, parameter uncertainty, and the role of experimental design
Ricky Chachra et al.
MOLECULAR BIOSYSTEMS (2011)
Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models
Kamil Erguler et al.
MOLECULAR BIOSYSTEMS (2011)
Geometry of nonlinear least squares with applications to sloppy models and optimization
Mark K. Transtrum et al.
PHYSICAL REVIEW E (2011)
Maximin and Bayesian robust experimental design for measurement set selection in modelling biochemical regulatory systems
Fei He et al.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2010)
Sloppy models, parameter uncertainty, and the role of experimental design
Joshua F. Apgar et al.
MOLECULAR BIOSYSTEMS (2010)
Why are Nonlinear Fits to Data so Challenging?
Mark K. Transtrum et al.
PHYSICAL REVIEW LETTERS (2010)
Multiscale modeling of emergent materials: biological and soft matter
Teemu Murtola et al.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2009)
Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters
Peter Reichert et al.
WATER RESOURCES RESEARCH (2009)
Sloppiness, robustness, and evolvability in systems biology
Bryan C. Daniels et al.
CURRENT OPINION IN BIOTECHNOLOGY (2008)
Computational procedures for optimal experimental design in biological systems
E. Balsa-Canto et al.
IET SYSTEMS BIOLOGY (2008)
Stimulus design for model selection and validation in cell signaling
Joshua F. Apgar et al.
PLOS COMPUTATIONAL BIOLOGY (2008)
Universally sloppy parameter sensitivities in systems biology models
Ryan N. Gutenkunst et al.
PLOS COMPUTATIONAL BIOLOGY (2007)
Ensemble modeling for analysis of cell signaling dynamics
Lars Kuepfer et al.
NATURE BIOTECHNOLOGY (2007)
A framework for validation of computer models
Maria J. Bayarri et al.
TECHNOMETRICS (2007)
Optimal experimental design in an epidermal growth factor receptor signalling and down-regulation model
F. P. Casey et al.
IET SYSTEMS BIOLOGY (2007)
Multiscale modeling of biomolecular systems: in serial and in parallel
Gary S. Ayton et al.
CURRENT OPINION IN STRUCTURAL BIOLOGY (2007)
Sloppy-model universality class and the Vandermonde matrix
Joshua J. Waterfall et al.
PHYSICAL REVIEW LETTERS (2006)
Building surrogate models based on detailed and approximate simulations
Zhiguang Qian et al.
JOURNAL OF MECHANICAL DESIGN (2006)
Understanding the effects of model uncertainty in robust design with computer experiments
Daniel W. Apley et al.
JOURNAL OF MECHANICAL DESIGN (2006)
MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology
M Feig et al.
JOURNAL OF MOLECULAR GRAPHICS & MODELLING (2004)
The statistical mechanics of complex signaling networks: nerve growth factor signaling
KS Brown et al.
PHYSICAL BIOLOGY (2004)
Bayesian ensemble approach to error estimation of interatomic potentials
SL Frederiksen et al.
PHYSICAL REVIEW LETTERS (2004)
Simulation methods for optimal experimental design in systems biology
D Faller et al.
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL (2003)
Experimental design in systems biology, based on parameter sensitivity analysis using a Monte Carlo method:: A case study for the TNFα-mediated NF-κB signal transduction pathway
KH Cho et al.
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL (2003)
Statistical mechanical approaches to models with many poorly known parameters
KS Brown et al.
PHYSICAL REVIEW E (2003)
Bayesian calibration of computer models
MC Kennedy et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2001)