4.7 Article

A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation

Related references

Note: Only part of the references are listed.
Review Biochemical Research Methods

Model selection in systems and synthetic biology

Paul Kirk et al.

CURRENT OPINION IN BIOTECHNOLOGY (2013)

Article Chemistry, Physical

A general moment expansion method for stochastic kinetic models

Angelique Ale et al.

JOURNAL OF CHEMICAL PHYSICS (2013)

Editorial Material Multidisciplinary Sciences

Bayes' Theorem in the 21st Century

Bradley Efron

SCIENCE (2013)

Article Biochemistry & Molecular Biology

On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo

Sarah Filippi et al.

STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2013)

Article Biochemistry & Molecular Biology

Approximate Bayesian computation (ABC) gives exact results under the assumption of model error

Richard David Wilkinson

STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2013)

Article Biochemical Research Methods

Maximizing the Information Content of Experiments in Systems Biology

Juliane Liepe et al.

PLOS COMPUTATIONAL BIOLOGY (2013)

Article Biochemical Research Methods

Approximate Bayesian Computation

Mikael Sunnaker et al.

PLOS COMPUTATIONAL BIOLOGY (2013)

Article Biochemical Research Methods

A Bayesian approach to targeted experiment design

J. Vanlier et al.

BIOINFORMATICS (2012)

Article Multidisciplinary Sciences

Graph spectral analysis of protein interaction network evolution

Thomas Thorne et al.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2012)

Review Statistics & Probability

Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation

Paul Fearnhead et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2012)

Article Multidisciplinary Sciences

Identifying sources of variation and the flow of information in biochemical networks

Clive G. Bowsher et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)

Article Computer Science, Theory & Methods

Considerate approaches to constructing summary statistics for ABC model selection

Chris P. Barnes et al.

STATISTICS AND COMPUTING (2012)

Article Biochemical Research Methods

GPU accelerated biochemical network simulation

Yanxiang Zhou et al.

BIOINFORMATICS (2011)

Article Statistics & Probability

Approximate Bayesian computation using indirect inference

Christopher C. Drovandi et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2011)

Article Multidisciplinary Sciences

Sensitivity, robustness, and identifiability in stochastic chemical kinetics models

Michal Komorowski et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)

Article Multidisciplinary Sciences

Separating intrinsic from extrinsic fluctuations in dynamic biological systems

Andreas Hilfinger et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)

Article Multidisciplinary Sciences

Bayesian design of synthetic biological systems

Chris P. Barnes et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)

Article Multidisciplinary Sciences

Lack of confidence in approximate Bayesian computation model choice

Christian P. Robert et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)

Article Multidisciplinary Sciences

Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes

Daniel Silk et al.

NATURE COMMUNICATIONS (2011)

Article Biochemical Research Methods

Simulation-based model selection for dynamical systems in systems and population biology

Tina Toni et al.

BIOINFORMATICS (2010)

Article Biochemical Research Methods

GPU computing for systems biology

Lorenzo Dematte et al.

BRIEFINGS IN BIOINFORMATICS (2010)

Article Genetics & Heredity

Bayesian Computation and Model Selection Without Likelihoods

Christoph Leuenberger et al.

GENETICS (2010)

Article Infectious Diseases

ABC: A useful Bayesian tool for the analysis of population data

J. S. Lopes et al.

INFECTION GENETICS AND EVOLUTION (2010)

Article Biochemistry & Molecular Biology

Sloppy models, parameter uncertainty, and the role of experimental design

Joshua F. Apgar et al.

MOLECULAR BIOSYSTEMS (2010)

Review Biochemistry & Molecular Biology

ABC as a flexible framework to estimate demography over space and time: some cons, many pros

G. Bertorelle et al.

MOLECULAR ECOLOGY (2010)

Article Biochemistry & Molecular Biology

On Optimal Selection of Summary Statistics for Approximate Bayesian Computation

Matthew A. Nunes et al.

STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2010)

Review Ecology

Approximate Bayesian Computation (ABC) in practice

Katalin Csillery et al.

TRENDS IN ECOLOGY & EVOLUTION (2010)

Article Biochemical Research Methods

Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data

Paul D. W. Kirk et al.

BIOINFORMATICS (2009)

Article Biology

Adaptive approximate Bayesian computation

Mark A. Beaumont et al.

BIOMETRIKA (2009)

Article Biochemical Research Methods

Bayesian inference of biochemical kinetic parameters using the linear noise approximation

Michal Komorowski et al.

BMC BIOINFORMATICS (2009)

Article Mathematics

ABC methods for model choice in Gibbs random fields

Aude Grelaud et al.

COMPTES RENDUS MATHEMATIQUE (2009)

Article Multidisciplinary Sciences

Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

Tina Toni et al.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2009)

Article Biochemistry & Molecular Biology

The ABC of reverse engineering biological signalling systems

Maria Secrier et al.

MOLECULAR BIOSYSTEMS (2009)

Article Biochemical Research Methods

BioBayes: A software package for Bayesian inference in systems biology

Vladislav Vyshemirsky et al.

BIOINFORMATICS (2008)

Article Biochemical Research Methods

Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation

Jean-Marie Cornuet et al.

BIOINFORMATICS (2008)

Article Biophysics

Parameter inference for biochemical systems that undergo a Hopf bifurcation

Paul D. W. Kirk et al.

BIOPHYSICAL JOURNAL (2008)

Article Mathematical & Computational Biology

Hybrid optimization method with general switching strategy for parameter estimation

Eva Balsa-Canto et al.

BMC SYSTEMS BIOLOGY (2008)

Article Multidisciplinary Sciences

Mapping global sensitivity of cellular network dynamics: sensitivity heat maps and a global summation law

D. A. Rand

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2008)

Article Biochemistry & Molecular Biology

Approximately Sufficient Statistics and Bayesian Computation

Paul Joyce et al.

Statistical Applications in Genetics and Molecular Biology (2008)

Article Biochemical Research Methods

Bayesian ranking of biochemical system models

Vladislav Vyshemirsky et al.

BIOINFORMATICS (2008)

Article Biochemical Research Methods

Universally sloppy parameter sensitivities in systems biology models

Ryan N. Gutenkunst et al.

PLOS COMPUTATIONAL BIOLOGY (2007)

Article Multidisciplinary Sciences

Sequential Monte Carlo without likelihoods

S. A. Sisson et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)

Article Multidisciplinary Sciences

Markov chain Monte Carlo without likelihoods

P Marjoram et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2003)