Benchmark and performance analysis of S-system parameter estimation based on interval analysis and constraint propagation
The advent of comprehensive metabolic profiles has facilitated the in-depth study of biochemical systems in their entirety. Aided by the effectiveness of the Biochemical Systems Theory (BST) modeling framework in numerically representing distinct features of such systems, the complex task of determi...
Saved in:
| Main Author: | |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2008
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_masteral/3771 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10609/viewcontent/CDTG004568_F_Partial.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| Language: | English |
| Summary: | The advent of comprehensive metabolic profiles has facilitated the in-depth study of biochemical systems in their entirety. Aided by the effectiveness of the Biochemical Systems Theory (BST) modeling framework in numerically representing distinct features of such systems, the complex task of determining the behavior of each metabolite and its effect on the biochemical system is essentially reduced into a parameter estimation problem. An abundance of literatures have proposed the use of optimization algorithms to address the estimation task. Each approach asserts its own set of innovations and advantages over the rest; however, these claims are difficult to prove since qualitative data are generally biased while quantitative data are often incomparable and inconclusive due to dissimilar testing configurations. Hence, a standard benchmarking framework should be defined to serve as a neutral testing environment. Benchmark data collected from the optimization algorithm based on Interval Analysis and Constraint Propagation was extensively analyzed and may be compared with similar researches to provide a reliable point of comparison. |
|---|