Abstract
This article considers a method to estimate protein networks for cell cycle based on system identification in control engineering. The approach provides a new approach to estimation problems of protein networks for cell cycle in systems biology. First the considered estimation problems of protein networks are defined. Second our approach based on least-squares method is shown. Finally by applying the proposed approach in a numerical example, a protein network of 6-dimensional cell cycle systems is estimated and this network consists of some known protein network for 6-dimensional cell cycle systems.
| Original language | English |
|---|---|
| Title of host publication | New Developments and Applications in Sensing Technology |
| Pages | 321-331 |
| Number of pages | 11 |
| DOIs | |
| Publication status | Published - 2011 Feb 7 |
| Event | 4th International Conference on Sensing Technology, ICST 2010 - Leece, Italy Duration: 2010 Jun 3 → 2010 Jun 5 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 83 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Other
| Other | 4th International Conference on Sensing Technology, ICST 2010 |
|---|---|
| Country | Italy |
| City | Leece |
| Period | 10/6/3 → 10/6/5 |
Keywords
- Systems biology
- cell cycle
- estimation
- least squares method
- protein networks
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
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Cite this
Azuma, T., Kurata, M., Takahashi, N., & Adachi, S. (2011). A new approach to estimation of protein networks for cell cycle based on least-squares method. In New Developments and Applications in Sensing Technology (pp. 321-331). (Lecture Notes in Electrical Engineering; Vol. 83 LNEE). https://doi.org/10.1007/978-3-642-17943-3_17