A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation
Authors
Keywords
-
Journal
Nature Protocols
Volume 9, Issue 2, Pages 439-456
Publisher
Springer Nature America, Inc
Online
2014-01-24
DOI
10.1038/nprot.2014.025
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Model selection in systems and synthetic biology
- (2013) Paul Kirk et al. CURRENT OPINION IN BIOTECHNOLOGY
- A general moment expansion method for stochastic kinetic models
- (2013) Angelique Ale et al. JOURNAL OF CHEMICAL PHYSICS
- Population dynamics of normal and leukaemia stem cells in the haematopoietic stem cell niche show distinct regimes where leukaemia will be controlled
- (2013) A. L. MacLean et al. Journal of the Royal Society Interface
- Bayes' Theorem in the 21st Century
- (2013) B. Efron SCIENCE
- On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
- (2013) Sarah Filippi et al. Statistical Applications in Genetics and Molecular Biology
- Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
- (2013) Richard David Wilkinson Statistical Applications in Genetics and Molecular Biology
- Maximizing the Information Content of Experiments in Systems Biology
- (2013) Juliane Liepe et al. PLoS Computational Biology
- Approximate Bayesian Computation
- (2013) Mikael Sunnåker et al. PLoS Computational Biology
- A Bayesian approach to targeted experiment design
- (2012) J. Vanlier et al. BIOINFORMATICS
- Calibrating spatio-temporal models of leukocyte dynamics against in vivo live-imaging data using approximate Bayesian computation
- (2012) Juliane Liepe et al. Integrative Biology
- Graph spectral analysis of protein interaction network evolution
- (2012) T. Thorne et al. Journal of the Royal Society Interface
- Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation
- (2012) Paul Fearnhead et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection
- (2012) Tina Toni et al. Molecular BioSystems
- Identifying sources of variation and the flow of information in biochemical networks
- (2012) C. G. Bowsher et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Considerate approaches to constructing summary statistics for ABC model selection
- (2012) Chris P. Barnes et al. STATISTICS AND COMPUTING
- GPU accelerated biochemical network simulation
- (2011) Yanxiang Zhou et al. BIOINFORMATICS
- From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coli
- (2011) Tina Toni et al. BMC Systems Biology
- Approximate Bayesian computation using indirect inference
- (2011) Christopher C. Drovandi et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
- Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models
- (2011) Kamil Erguler et al. Molecular BioSystems
- Sensitivity, robustness, and identifiability in stochastic chemical kinetics models
- (2011) M. Komorowski et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Separating intrinsic from extrinsic fluctuations in dynamic biological systems
- (2011) A. Hilfinger et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Bayesian design of synthetic biological systems
- (2011) C. P. Barnes et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Lack of confidence in approximate Bayesian computation model choice
- (2011) C. P. Robert et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes
- (2011) Daniel Silk et al. Nature Communications
- Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo
- (2011) A. Golightly et al. Interface Focus
- Inference on population history and model checking using DNA sequence and microsatellite data with the software DIYABC (v1.0)
- (2010) Jean-Marie Cornuet et al. BMC BIOINFORMATICS
- GPU computing for systems biology
- (2010) L. Dematte et al. BRIEFINGS IN BIOINFORMATICS
- Sloppy models, parameter uncertainty, and the role of experimental design
- (2010) Joshua F. Apgar et al. Molecular BioSystems
- ABC as a flexible framework to estimate demography over space and time: some cons, many pros
- (2010) G. BERTORELLE et al. MOLECULAR ECOLOGY
- On Optimal Selection of Summary Statistics for Approximate Bayesian Computation
- (2010) Matthew A Nunes et al. Statistical Applications in Genetics and Molecular Biology
- Approximate Bayesian Computation (ABC) in practice
- (2010) Katalin Csilléry et al. TRENDS IN ECOLOGY & EVOLUTION
- Simulation-based model selection for dynamical systems in systems and population biology
- (2009) Tina Toni et al. BIOINFORMATICS
- Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data
- (2009) Paul D. W. Kirk et al. BIOINFORMATICS
- Adaptive approximate Bayesian computation
- (2009) M. A. Beaumont et al. BIOMETRIKA
- Bayesian inference of biochemical kinetic parameters using the linear noise approximation
- (2009) Michał Komorowski et al. BMC BIOINFORMATICS
- ABC methods for model choice in Gibbs random fields
- (2009) Aude Grelaud et al. COMPTES RENDUS MATHEMATIQUE
- Bayesian Computation and Model Selection Without Likelihoods
- (2009) C. Leuenberger et al. GENETICS
- ABC: A useful Bayesian tool for the analysis of population data
- (2009) J.S. Lopes et al. INFECTION GENETICS AND EVOLUTION
- The ABC of reverse engineering biological signalling systems
- (2009) Maria Secrier et al. Molecular BioSystems
- BioBayes: A software package for Bayesian inference in systems biology
- (2008) V. Vyshemirsky et al. BIOINFORMATICS
- Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation
- (2008) Jean-Marie Cornuet et al. BIOINFORMATICS
- Parameter Inference for Biochemical Systems that Undergo a Hopf Bifurcation
- (2008) Paul D.W. Kirk et al. BIOPHYSICAL JOURNAL
- Hybrid optimization method with general switching strategy for parameter estimation
- (2008) Eva Balsa-Canto et al. BMC Systems Biology
- Mapping global sensitivity of cellular network dynamics: sensitivity heat maps and a global summation law
- (2008) D.A Rand Journal of the Royal Society Interface
- Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
- (2008) T. Toni et al. Journal of the Royal Society Interface
- Approximately Sufficient Statistics and Bayesian Computation
- (2008) Paul Joyce et al. Statistical Applications in Genetics and Molecular Biology
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started