Modeling the cell cycle of fission yeast by means of piecewise linear systems

Author

Amato, F. ; Bansal, M. ; Cosentino, C. ; Curatola, W. ; Bernardo, D. Di

Author_Institution

Sch. of Comput. & Biomed. Eng., Universita degli Studi Magna Grascia, Catanzaro

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

3301

Lastpage

3305

Abstract

Biological process modeling requires the use of a non-LTI description. On the other hand, experimental data suggest that the behavior of many biological systems can be described with good approximation by means of piecewise linear time-invariant (LIT) models. On the basis of these considerations, the present work focuses on the problem of analyzing a set of experimental data and identifying the points where discontinuous phenomena occur. A validation of the technique is provided exploiting the well established cell cycle model of fission yeast by Novak and Tyson

Keywords

cellular biophysics; genetics; microorganisms; physiological models; piecewise linear techniques; biological process modeling; biological systems; fission yeast cell cycle modeling; piecewise linear systems; piecewise linear time-invariant model; Biological system modeling; Biological systems; Cells (biology); Diseases; Fungi; Genetics; Organisms; Piecewise linear techniques; Reconstruction algorithms; Sparse matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE

Conference_Location

Munich

Print_ISBN

0-7803-9797-5

Electronic_ISBN

0-7803-9797-5

Type

conf

DOI

10.1109/CACSD-CCA-ISIC.2006.4777167

Filename

4777167