SBI – Department of Systems Biology and Bioinformatics
Faculty of Computer Science and Electrical Engineering
University of Rostock
Ulmenstrasse 69 | 18057 Rostock
Germany
+49 381 498-7571
olaf.wolkenhauer@uni-rostock.de
Optimal sampling time selection for parameter estimation in dynamic pathway modeling
This page contains material related to the paper:
Kutalik K, Cho KH, Wolkenhauer O
Optimal sampling time selection for parameter estimation in dynamic pathway modeling
BioSystems 75, pp. 43-55, 2004; DOI:10.1016/j.biosystems.2004.03.007; PMID: 15245803
Main Matlab M-files
simulation.m
Simulates the data sets for ms2RK45.m
ms2RK45.m
Multiple shooting with Runge-Kutta45
zeq.m
Defines the differential equations
Additional Matlab M-files
design1.m
Initialises the design: computes the covariance matrix of the noise in case of equidistant time point selection.
design2.m
Computes the optimal sampling time selection with Powell's quadratic convergent method
Info: Matlab-files are developed in Matlab 7