Nandy, P. and Unger, M. and Zechner, C. and Koeppl, H. (2012):
Optimal Perturbations for the Identification of Stochastic Reaction Dynamics.
Elsevier, In: 16th IFAC Symposium on System Identification, [Online-Edition: http://www.ifac-papersonline.net/Detailed/54661.html],
[Conference or Workshop Item]
Abstract
Identification of stochastic reaction dynamics inside the cell is hampered by the low-dimensional readouts available with today's measurement technologies. Moreover, such processes are poorly excited by standard experimental protocols, making identification even more ill-posed. Recent technological advances provide means to design and apply complex extra-cellular stimuli. Based on an information-theoretic setting we present novel Monte Carlo sampling techniques to determine optimal temporal excitation profiles for such stochastic processes. We give a new result for the controlled birth-death process and provide a proof of principle by considering a simple model of regulated gene expression.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2012 |
| Creators: | Nandy, P. and Unger, M. and Zechner, C. and Koeppl, H. |
| Title: | Optimal Perturbations for the Identification of Stochastic Reaction Dynamics |
| Language: | English |
| Abstract: | Identification of stochastic reaction dynamics inside the cell is hampered by the low-dimensional readouts available with today's measurement technologies. Moreover, such processes are poorly excited by standard experimental protocols, making identification even more ill-posed. Recent technological advances provide means to design and apply complex extra-cellular stimuli. Based on an information-theoretic setting we present novel Monte Carlo sampling techniques to determine optimal temporal excitation profiles for such stochastic processes. We give a new result for the controlled birth-death process and provide a proof of principle by considering a simple model of regulated gene expression. |
| Publisher: | Elsevier |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications |
| Event Title: | 16th IFAC Symposium on System Identification |
| Date Deposited: | 04 Apr 2014 11:40 |
| Official URL: | http://www.ifac-papersonline.net/Detailed/54661.html |
| Related URLs: | |
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