Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism

Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism

Indexed in: EBSCO.

An understanding of biological systems at cellular and molecular levels helps researchers to model cellular behavior in different experimental conditions. This, in turn, can lead to insights about ...
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Basis for Biosystems Analysis

Pp. 21-79 (59)

Kazuyuki Shimizu and Yu Matsuoka

Abstract

Basic notion and systems analysis method is briefly explained for the preparation to the understanding of the later chapters. Non-linear and linear systems equations are explained, where the standard formulation and its representation is useful for the basis of various types of modeling. Transfer function is explained for the linear system as the input-output representation. Basic graph theory is explained with its applications, where it is important to analyze large-scale metabolic reaction networks. Data analysis such as regression analysis and the principal component analysis (PCA) are also briefly explained, where it is important for analyzing the experimental data and experimental design in relation to modeling.

Keywords:

System equation, transfer function, graph theory, signal flow diagram, feedback control, regression analysis, principal component analysis (PCA).

Affiliation:

Institute of Advanced Biosciences Keio University Tsuruoka Yamagata 997-0017 Japan.