Dominik M Wittmann

Summary

Country: Germany

Publications

  1. ncbi Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling
    Dominik M Wittmann
    Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen German Research Center for Environmental Health, Neuherberg, Germany
    BMC Syst Biol 3:98. 2009
  2. ncbi Odefy--from discrete to continuous models
    Jan Krumsiek
    Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen, Ingolstadter Landstrasse 1, 85764 Munich Neuherberg, Germany
    BMC Bioinformatics 11:233. 2010
  3. ncbi Effective parameters determining the information flow in hierarchical biological systems
    Florian Blöchl
    Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen German Research Center for Environmental Health, Neuherberg, Germany
    Bull Math Biol 73:706-25. 2011
  4. ncbi Biologically meaningful update rules increase the critical connectivity of generalized Kauffman networks
    Dominik M Wittmann
    Computational Modeling in Biology, Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen German Research Center for Environmental Health, Ingolstadter Landstrasse 1, 85764 Neuherberg, Germany
    J Theor Biol 266:436-48. 2010
  5. ncbi Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundary
    Dominik M Wittmann
    Computational Modeling in Biology, Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen, German Research Centre for Environmental Health, Munich Neuherberg, Germany
    PLoS Comput Biol 5:e1000569. 2009

Detail Information

Publications5

  1. ncbi Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling
    Dominik M Wittmann
    Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen German Research Center for Environmental Health, Neuherberg, Germany
    BMC Syst Biol 3:98. 2009
    ..Nowadays however, experiments yield more and more quantitative data. An obvious question therefore is how qualitative models can be used to explain and predict the outcome of these experiments...
  2. ncbi Odefy--from discrete to continuous models
    Jan Krumsiek
    Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen, Ingolstadter Landstrasse 1, 85764 Munich Neuherberg, Germany
    BMC Bioinformatics 11:233. 2010
    ..As biological interaction networks have steadily grown in size and complexity, a fully automated framework for the conversion process is desirable...
  3. ncbi Effective parameters determining the information flow in hierarchical biological systems
    Florian Blöchl
    Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen German Research Center for Environmental Health, Neuherberg, Germany
    Bull Math Biol 73:706-25. 2011
    ..We demonstrate that this fitting problem can be reformulated as the problem of fitting exponential sums, for which robust algorithms exist...
  4. ncbi Biologically meaningful update rules increase the critical connectivity of generalized Kauffman networks
    Dominik M Wittmann
    Computational Modeling in Biology, Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen German Research Center for Environmental Health, Ingolstadter Landstrasse 1, 85764 Neuherberg, Germany
    J Theor Biol 266:436-48. 2010
    ..We analytically show that their usage indeed increases the critical connectivity. From a general point of view, our thermodynamic considerations link discrete and continuous models of gene regulatory networks...
  5. ncbi Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundary
    Dominik M Wittmann
    Computational Modeling in Biology, Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum Munchen, German Research Centre for Environmental Health, Munich Neuherberg, Germany
    PLoS Comput Biol 5:e1000569. 2009
    ..We show, in particular, that the spatial gene expression patterns around the MHB help us to understand the maintenance of this boundary on a systems level...