The Identification of Dynamic Gene-Protein Networks View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2007

AUTHORS

Ronald L. Westra , Goele Hollanders , Geert Jan Bex , Marc Gyssens , Karl Tuyls

ABSTRACT

In this study we will focus on piecewise linear state space models for gene-protein interaction networks. We will follow the dynamical systems approach with special interest for partitioned state spaces. From the observation that the dynamics in natural systems tends to punctuated equilibria, we will focus on piecewise linear models and sparse and hierarchic interactions, as, for instance, described by Glass, Kauffman, and de Jong. Next, the paper is concerned with the identification (also known as reverse engineering and reconstruction) of dynamic genetic networks from microarray data. We will describe exact and robust methods for computing the interaction matrix in the special case of piecewise linear models with sparse and hierarchic interactions from partial observations. Finally, we will analyze and evaluate this approach with regard to its performance and robustness towards intrinsic and extrinsic noise. More... »

PAGES

157-170

Book

TITLE

Knowledge Discovery and Emergent Complexity in Bioinformatics

ISBN

978-3-540-71036-3
978-3-540-71037-0

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-71037-0_11

DOI

http://dx.doi.org/10.1007/978-3-540-71037-0_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030674614


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