Titlebook: Systems Biology; Integrative Biology Aleš Prokop,Béla Csukás Book 2013 Springer Science+Business Media Dordrecht 2013 computational system

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Regulatory Crosstalk Analysis of Biochemical Networks in the Hippocampus and Nucleus Accumbensand cellular mechanisms in the hippocampus and nucleus accumbens. We modeled both types of neurons with a variety of techniques: dynamic equations, constraint-based modeling, and complex network analysis. The last two approaches are called static modeling. In this chapter, we introduced these 3 meth

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Computational Approaches for Reconstruction of Time-Varying Biological Networks from Omics Datae series node observations (e.g. gene expressions) from a modeling perspective. Time series gene expression data has been extensively used for analysis of gene interaction networks, and studying the influence of regulatory relationships on different phenotypes. Traditional correlation and regression

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