Systemic properties of ensembles of metabolic networks: application of graphical and statistical methods to simple unbranched pathways | Zendy

Rui Alves | Zendy; Michael A. Savageau | Zendy

Open Access

Systemic properties of ensembles of metabolic networks: application of graphical and statistical methods to simple unbranched pathways

Author(s) -

Rui Alves,

Michael A. Savageau

Publication year - 2000

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/16.6.534

Subject(s) - simple (philosophy) , parameter space , computer science , formalism (music) , set (abstract data type) , nonlinear system , algorithm , biological system , mathematics , statistics , art , musical , philosophy , epistemology , visual arts , biology , programming language , physics , quantum mechanics

Mathematical models are the only realistic method for representing the integrated dynamic behavior of complex biochemical networks. However, it is difficult to obtain a consistent set of values for the parameters that characterize such a model. Even when a set of parameter values exists, the accuracy of the individual values is questionable. Therefore, we were motivated to explore statistical techniques for analyzing the properties of a given model when knowledge of the actual parameter values is lacking.

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