Ursula Klingmüller

According to our database1, Ursula Klingmüller authored at least 14 papers between 2003 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2017
Correlated receptor transport processes buffer single-cell heterogeneity.
PLoS Comput. Biol., 2017

TTCA: an R package for the identification of differentially expressed genes in time course microarray data.
BMC Bioinform., 2017

2016
Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells.
PLoS Comput. Biol., 2016

2015
Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling.
PLoS Comput. Biol., 2015

Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.
Bioinform., 2015

2013
Excemplify: A Flexible Template Based Solution, Parsing and Managing Data in Spreadsheets for Experimentalists.
J. Integr. Bioinform., 2013

2012
In silico labeling reveals the time-dependent label half-life and transit-time in dynamical systems.
BMC Syst. Biol., 2012

2011
Quantification of frap experiments in live cell image sequences by combining segmentation and registration.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Model-based extension of high-throughput to high-content data.
BMC Syst. Biol., 2010

Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation.
BMC Bioinform., 2010

2009
Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood.
Bioinform., 2009

2008
A systems biology approach to analyse amplification in the JAK2-STAT5 signalling pathway.
BMC Syst. Biol., 2008

2004
Modeling the Nonlinear Dynamics of Cellular Signal Transduction.
Int. J. Bifurc. Chaos, 2004

2003
Simulation Methods for Optimal Experimental Design in Systems Biology.
Simul., 2003


  Loading...