Addressing parameter identifiability by model-based experimentation.
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Studying Cellular Signal Transduction with OMIC TechnologiesNew types of experimental data shape the use of enzyme kinetics for dynamic network modelingParameter identifiability and sensitivity analysis predict targets for enhancement of STAT1 activity in pancreatic cancer and stellate cellsAn improved swarm optimization for parameter estimation and biological model selectionHodgkin-Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methodsReconstructing mammalian sleep dynamics with data assimilation.Assessing parameter identifiability for dynamic causal modeling of fMRI dataThreshold-free population analysis identifies larger DRG neurons to respond stronger to NGF stimulation.Optimal experiment selection for parameter estimation in biological differential equation models.An evolutionary firefly algorithm for the estimation of nonlinear biological model parametersOptimization and model reduction in the high dimensional parameter space of a budding yeast cell cycle model.Identification of parameter correlations for parameter estimation in dynamic biological models.Reverse-engineering post-transcriptional regulation of gap genes in Drosophila melanogasterRational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions.A unified framework for estimating parameters of kinetic biological models.Recent development and biomedical applications of probabilistic Boolean networks.Predictive mathematical models of cancer signalling pathways.Model-based design of experiments for cellular processes.A confidence building exercise in data and identifiability: Modeling cancer chemotherapy as a case study.Distinct cellular states determine calcium signaling responseParameter estimation for dynamical systems with discrete events and logical operations.Analysis of passive cardiac constitutive laws for parameter estimation using 3D tagged MRI.How to deal with parameters for whole-cell modelling.Cell-to-cell variability analysis dissects the plasticity of signaling of common γ chain cytokines in T cells.Mathematical modeling and quantitative analysis of HIV-1 Gag trafficking and polymerization.Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability.Conclusions via unique predictions obtained despite unidentifiability--new definitions and a general method.Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models.Modeling the Dichotomy of the Immune Response to Cancer: Cytotoxic Effects and Tumor-Promoting Inflammation.On the identifiability of metabolic network models.Information sensitivity functions to assess parameter information gain and identifiability of dynamical systems.Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling
P2860
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P2860
Addressing parameter identifiability by model-based experimentation.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
Addressing parameter identifiability by model-based experimentation.
@en
Addressing parameter identifiability by model-based experimentation.
@nl
type
label
Addressing parameter identifiability by model-based experimentation.
@en
Addressing parameter identifiability by model-based experimentation.
@nl
prefLabel
Addressing parameter identifiability by model-based experimentation.
@en
Addressing parameter identifiability by model-based experimentation.
@nl
P2093
P1433
P1476
Addressing parameter identifiability by model-based experimentation.
@en
P2093
P304
P356
10.1049/IET-SYB.2010.0061
P577
2011-03-01T00:00:00Z