Driving the Model to Its Limit: Profile Likelihood Based Model Reduction

Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems: Fig. 1.

(2015) A. Raue et al.   BIOINFORMATICS

Higher-order Lie symmetries in identifiability and predictability analysis of dynamic models

(2015) Benjamin Merkt et al.   PHYSICAL REVIEW E

Model Reduction by Manifold Boundaries

(2014) Mark K. Transtrum et al.   PHYSICAL REVIEW LETTERS

An In Silico Agent-Based Model Demonstrates Reelin Function in Directing Lamination of Neurons during Cortical Development

(2014) James R. Caffrey et al.   PLoS One

Lessons Learned from Quantitative Dynamical Modeling in Systems Biology

(2013) Andreas Raue et al.   PLoS One

Complexity reduction preserving dynamical behavior of biochemical networks

(2012) Mochamad Apri et al.   JOURNAL OF THEORETICAL BIOLOGY

Experimental Design for Parameter Estimation of Gene Regulatory Networks

(2012) Bernhard Steiert et al.   PLoS One

Reduction of dynamical biochemical reactions networks in computational biology

(2012) O. Radulescu et al.   Frontiers in Genetics

A simple work flow for biologically inspired model reduction - application to early JAK-STAT signaling

(2011) Tom Quaiser et al.   BMC Systems Biology

A method for zooming of nonlinear models of biochemical systems

(2011) Mikael Sunnåker et al.   BMC Systems Biology

Covering a Broad Dynamic Range: Information Processing at the Erythropoietin Receptor

(2010) V. Becker et al.   SCIENCE

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood

(2009) A. Raue et al.   BIOINFORMATICS

Complexity reduction of biochemical rate expressions

(2008) Henning Schmidt et al.   BIOINFORMATICS

Dual Functions of Dab1 during Brain Development

(2008) L. Feng et al.   MOLECULAR AND CELLULAR BIOLOGY