Parameter set selection via clustering of parameters into pair-wise indistinguishable groups of parameters

摘要

Mathematical modeling has become an essential approach to understand the mechanisms and dynamics in a system. With advent of computing power and experimental techniques, modeling of large-scale complex systems is accessible and it has become a key component in various research areas. For example, in systems biology mathematical modeling has been a keystone (Kitano 2002). To study signal transduction pathways a number of large scale models have been developed (e.g. Schoeberl et al., 2002; Yamada et al., 2003; Singh et al., 2006) which provide a fresh insight into the biological systems. The structure of a model is often built by mechanism analysis while the parameters are often required to be updated from experimental data. The usefulness of a model is highly dependent on the quality of the model. However accurate estimation of the large scale systems is still a challenge.