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Poster

Adaptive visualization of complex hierarchical signaling networks

MPS-Authors
/persons/resource/persons86203

Mirschel,  S.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons127401

Ginkel,  Martin
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86220

Saez-Rodriguez,  J.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86172

Gilles,  E. D.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Citation

Mirschel, S., Ginkel, M., Saez-Rodriguez, J., & Gilles, E. D. (2005). Adaptive visualization of complex hierarchical signaling networks. Poster presented at 4th European Conference On Computational Biology (ECCB05), Madrid, Spain.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-9BA8-5
Abstract
Based on an example model of the EGF signaling network a new approach for the visualization of complex biochemical networks is described. Primarily, interactive and adaptive methods are used to show required detail embedded in its global context. This can provide an improved analysis of complex models.