Multivariate Time Series Analysis of Metabolic Network Using the E-CELL Simulation System

Abstract

These multivariate time series analysis methods are supposed to be effective in analyzing metabolic network, particularly when feedback loops are present.
However, it is nearly impossible for laboratory experiments to obtain a large collection of sample values enough to employ these analytical methods. Since computer simulation can produce ample data sufficient for time series analyses, we believe that the E-CELL system will be a promising means for investigation of dynamic behavior of metabolic network.