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A protocol for dynamic model calibration

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Updated at: 29-04-2024

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AMICI: high-performance sensitivity analysis for large ordinary differential equation models

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Efficient computation of steady states in large-scale ODE models of biochemical reaction networks

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A Comparison of Methods for Quantifying Prediction Uncertainty in Systems Biology

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Challenges in the calibration of large-scale ordinary differential equation models

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Efficient parameterization of large-scale dynamic models based on relative measurements

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Set-up of a webpage platform for the interface between user/client and pipeline

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Management Guide

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Closing the gap between formats for storing layout information in systems biology

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Sufficiently Exciting Inputs for Structurally Identifiable Systems Biology Models

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LNA++: Linear Noise Appr oximation with First and Second Order Sensitivities

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Observability and Structural Identifiability of Nonlinear Biological Systems

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Input-Dependent Structural Identifiability of Nonlinear Systems

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Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model

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Structural Identifiability Analysis via Extended Observability and Decomposition

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Análisis de observabilidad e identificabilidad estructural de modelos no lineales: aplicación a la vía de señalizaci...

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Structural Identifiability of Dynamic Systems Biology Models

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On the relationship between sloppiness and identifiability

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Full observability and estimation of unknown inputs, states and parameters of nonlinear biological models

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GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models

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Benchmarking optimization methods for parameter estimation in large kinetic models

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Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis

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Hierarchical optimization for the efficient parametrization of ODE models

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PREMER: Parallel Reverse Engineering of Biological Networks with Information Theory

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Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems

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Virtual trials in virtual patients. Is this how we will accelerate progress in personalized treatments?

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Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering

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PESTO: Parameter EStimation TOolbox

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Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology

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Structural Properties of Dynamic Systems Biology Models: Identifiability, Reachability, and Initial Conditions

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Resources

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A protocol for dynamic model calibration

AMICI: high-performance sensitivity analysis for large ordinary differential equation models

Efficient computation of steady states in large-scale ODE models of biochemical reaction networks

A Comparison of Methods for Quantifying Prediction Uncertainty in Systems Biology

Challenges in the calibration of large-scale ordinary differential equation models

Efficient parameterization of large-scale dynamic models based on relative measurements

Set-up of a webpage platform for the interface between user/client and pipeline

Management Guide

Closing the gap between formats for storing layout information in systems biology

Sufficiently Exciting Inputs for Structurally Identifiable Systems Biology Models

LNA++: Linear Noise Appr oximation with First and Second Order Sensitivities

Observability and Structural Identifiability of Nonlinear Biological Systems

Input-Dependent Structural Identifiability of Nonlinear Systems

Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model

Structural Identifiability Analysis via Extended Observability and Decomposition

Análisis de observabilidad e identificabilidad estructural de modelos no lineales: aplicación a la vía de señalizaci...

Structural Identifiability of Dynamic Systems Biology Models

On the relationship between sloppiness and identifiability

Full observability and estimation of unknown inputs, states and parameters of nonlinear biological models

GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models

Benchmarking optimization methods for parameter estimation in large kinetic models

Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis

Hierarchical optimization for the efficient parametrization of ODE models

PREMER: Parallel Reverse Engineering of Biological Networks with Information Theory

Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems

Virtual trials in virtual patients. Is this how we will accelerate progress in personalized treatments?

Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering

PESTO: Parameter EStimation TOolbox

Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology

Structural Properties of Dynamic Systems Biology Models: Identifiability, Reachability, and Initial Conditions