Maximizing the Information Content of Experiments in Systems Biology

A Bayesian approach to targeted experiment design

(2012) J. Vanlier et al.   BIOINFORMATICS

An integrated strategy for prediction uncertainty analysis

(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

Simulation-based optimal Bayesian experimental design for nonlinear systems

(2012) Xun Huan et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Sensitivity control through attenuation of signal transfer efficiency by negative regulation of cellular signalling

(2012) Yu Toyoshima et al.   Nature Communications

GPU accelerated biochemical network simulation

(2011) Yanxiang Zhou et al.   BIOINFORMATICS

A Global Parallel Model Based Design of Experiments Method to Minimize Model Output Uncertainty

(2011) Jason N. Bazil et al.   BULLETIN OF MATHEMATICAL BIOLOGY

The Cell in an Era of Systems Biology

(2011) Paul Nurse et al.   CELL

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

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

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

(2011) Daniel Silk et al.   Nature Communications

ABC-SysBio--approximate Bayesian computation in Python with GPU support

(2010) J. Liepe et al.   BIOINFORMATICS

Statistical inference of the time-varying structure of gene-regulation networks

(2010) Sophie Lèbre et al.   BMC Systems Biology

Discriminating between rival biochemical network models: three approaches to optimal experiment design

(2010) Bence Mélykúti et al.   BMC Systems Biology

Diseases as network perturbations

(2010) Antonio del Sol et al.   CURRENT OPINION IN BIOTECHNOLOGY

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

(2010) Joshua F. Apgar et al.   Molecular BioSystems

Measurement of single-cell dynamics

(2010) David G. Spiller et al.   NATURE

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

(2009) Tina Toni et al.   BIOINFORMATICS

Systems biology: experimental design

(2009) Clemens Kreutz et al.   FEBS Journal

Stochastic modelling for quantitative description of heterogeneous biological systems

(2009) Darren J. Wilkinson   NATURE REVIEWS GENETICS

Sequences and consequences

(2009) S. Brenner   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Optimal Experimental Design for Parameter Estimation of a Cell Signaling Model

(2009) Samuel Bandara et al.   PLoS Computational Biology

Integrating parameter selection with experimental design under uncertainty for nonlinear dynamic systems

(2008) Yunfei Chu et al.   AICHE JOURNAL

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

(2008) T. Toni et al.   Journal of the Royal Society Interface

Stimulus Design for Model Selection and Validation in Cell Signaling

(2008) Joshua F. Apgar et al.   PLoS Computational Biology