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Title:
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SPATIO-TEMPORAL MODELING AND SIMULATING THE DYNAMIC OF GENETIC REGULATORY NETWORKS: CASE OF ARABIDOPSIS THALIANA PLANT |
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Author(s):
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Ines Hamdi , Mohamed Ben Ahmed |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V II, 2 |
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Keywords:
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Gene expression, spatio-temporal modeling and simulating, Genetic Regulatory Networks (GRNs), knowledge
representation. |
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Type:
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Short Paper |
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First Page:
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197 |
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Last Page:
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201 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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While the amount of available gene expression data has been increasing rapidly, the required mathematical techniques to
analyze such data is still in development.
Particularly, deriving a gene regulatory network from gene expression data has proven to be difficult.
In time-ordered gene expression measurements, the temporal pattern of gene expression is investigated by measuring the
gene expression levels at a small number of points in time.
In order to draw meaningful inferences from gene expression data, it is important that each gene is surveyed under
several different conditions, preferably in the form of expression time series. Such data sets may be analyzed using a
range of methods with increasing depth of inference, such as cluster analysis, correlation analysis, and determination of
mutual information content.
We propose in this paper an approach for the knowledge representation and the spatio-temporal modeling and simulating
the dynamic of genetic regulatory networks
Our propositions are validated in the ABC model of the Arabidopsis Thaliana flower development. |
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