Near-optimal experimental design for model selection in systems biology

Automatic Generation of Predictive Dynamic Models Reveals Nuclear Phosphorylation as the Key Msn2 Control Mechanism

(2013) M. Sunnaker et al.   Science Signaling

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

Unsupervised modeling of cell morphology dynamics for time-lapse microscopy

(2012) Qing Zhong et al.   NATURE METHODS

Evolvability and robustness in a complex signalling circuit

(2011) Karthik Raman et al.   Molecular BioSystems

Optimizing Experimental Design for Comparing Models of Brain Function

(2011) Jean Daunizeau et al.   PLoS Computational Biology

An optimal experimental design approach to model discrimination in dynamic biochemical systems

(2010) Dominik Skanda et al.   BIOINFORMATICS

Inferring Signaling Pathway Topologies from Multiple Perturbation Measurements of Specific Biochemical Species

(2010) T.-R. Xu et al.   Science Signaling

Systems biology: experimental design

(2009) Clemens Kreutz et al.   FEBS Journal

Of bits and wows: A Bayesian theory of surprise with applications to attention

(2009) Pierre Baldi et al.   NEURAL NETWORKS

Optimal experimental design for model discrimination.

(2009) Jay I. Myung et al.   PSYCHOLOGICAL REVIEW

Optimal Experimental Design for Parameter Estimation of a Cell Signaling Model

(2009) Samuel Bandara et al.   PLoS Computational Biology

Computational procedures for optimal experimental design in biological systems

(2008) E. Balsa-Canto et al.   IET Systems Biology