Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models.
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Maximizing the information content of experiments in systems biologyReverse engineering and identification in systems biology: strategies, perspectives and challengesMouse hair cycle expression dynamics modeled as coupled mesenchymal and epithelial oscillatorsIn silico model-based inference: a contemporary approach for hypothesis testing in network biologyAccelerated Sensitivity Analysis in High-Dimensional Stochastic Reaction NetworksBridging Mechanistic and Phenomenological Models of Complex Biological SystemsLarge-Scale Modelling of the Environmentally-Driven Population Dynamics of Temperate Aedes albopictus (Skuse)Data-driven quantification of the robustness and sensitivity of cell signaling networks.A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.Modelling Anopheles gambiae s.s. Population Dynamics with Temperature- and Age-Dependent Survival.Identification of potential COPD genes based on multi-omics data at the functional level.Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.Modelling proteasome and proteasome regulator activities.Calibrating spatio-temporal models of leukocyte dynamics against in vivo live-imaging data using approximate Bayesian computation.What can causal networks tell us about metabolic pathways?A mathematical model of the unfolded protein stress response reveals the decision mechanism for recovery, adaptation and apoptosis.Topological sensitivity analysis for systems biologySensitivity, robustness, and identifiability in stochastic chemical kinetics models.Bayesian model comparison and parameter inference in systems biology using nested samplingModel selection in systems biology depends on experimental design.A generalised enzyme kinetic model for predicting the behaviour of complex biochemical systemsCausal drift, robust signaling, and complex disease.Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics.The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems.Parameter-free model discrimination criterion based on steady-state coplanarity.A large-scale stochastic spatiotemporal model for Aedes albopictus-borne chikungunya epidemiology.An evolutionary perspective on anti-tumor immunityMathematical and statistical modeling in cancer systems biologyModel-based design of experiments for cellular processes.Perspective: Sloppiness and emergent theories in physics, biology, and beyond.Patient-specific driver gene prediction and risk assessment through integrated network analysis of cancer omics profiles.Population dynamics of normal and leukaemia stem cells in the haematopoietic stem cell niche show distinct regimes where leukaemia will be controlled.Bayesian design strategies for synthetic biologyStatistical analysis of nonlinear dynamical systems using differential geometric sampling methodsMultitype Network-Guided Target Controllability in Phenotypically Characterized Osteosarcoma: Role of Tumor Microenvironment.Control mechanisms for stochastic biochemical systems via computation of reachable setsHow to deal with parameters for whole-cell modelling.A general moment expansion method for stochastic kinetic models.
P2860
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P2860
Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models.
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
Practical limits for reverse e ...... ity in systems biology models.
@en
Practical limits for reverse e ...... ity in systems biology models.
@nl
type
label
Practical limits for reverse e ...... ity in systems biology models.
@en
Practical limits for reverse e ...... ity in systems biology models.
@nl
prefLabel
Practical limits for reverse e ...... ity in systems biology models.
@en
Practical limits for reverse e ...... ity in systems biology models.
@nl
P2860
P356
P1433
P1476
Practical limits for reverse e ...... lity in systems biology models
@en
P2093
Michael P H Stumpf
P2860
P304
P356
10.1039/C0MB00107D
P577
2011-03-04T00:00:00Z