Title :
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
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;
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
DOI :
10.1109/CACSD-CCA-ISIC.2006.4777167
