Nandy, P. ; Unger, M. ; Zechner, C. ; Koeppl, H. (2012)
Optimal Perturbations for the Identification of Stochastic Reaction Dynamics.
16th IFAC Symposium on System Identification.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Nandy, P. ; Unger, M. ; Zechner, C. ; Koeppl, H. |
| Art des Eintrags: | Bibliographie |
| Titel: | Optimal Perturbations for the Identification of Stochastic Reaction Dynamics |
| Sprache: | Englisch |
| Publikationsjahr: | Juli 2012 |
| Verlag: | Elsevier |
| Veranstaltungstitel: | 16th IFAC Symposium on System Identification |
| URL / URN: | http://www.ifac-papersonline.net/Detailed/54661.html |
| Zugehörige Links: | |
| Kurzbeschreibung (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. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik |
| Hinterlegungsdatum: | 04 Apr 2014 11:40 |
| Letzte Änderung: | 23 Sep 2021 14:31 |
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