Emmert-Streib, Frank ; Dehmer, Matthias ; Bakir, H. G. ; Mühlhäuser, Max
Hrsg.: Ardil, Cemal (2005)
Influence of Noise on the Inference of Dynamic Bayesian Networks from Short Time Series.
8th Conference of the World Academy of Science, Engineering and Technology. Cracow, Poland (16.-18.12.2005)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper we investigate the influence of external noise on the inference of network structures. The purpose of our simulations is to gain insights in the experimental design of microarray experiments to infer, e.g., transcription regulatory networks from microarray experiments. Here external noise means, that the dynamics of the system under investigation, e.g., temporal changes of mRNA concentration, is affected by measurement errors. Additionally to external noise another problem occurs in the context of microarray experiments. Practically, it is not possible to monitor the mRNA concentration over an arbitrary long time period as demanded by the statistical methods used to learn the underlying network structure. For this reason, we use only short time series to make our simulations more biologically plausible.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2005 |
| Herausgeber: | Ardil, Cemal |
| Autor(en): | Emmert-Streib, Frank ; Dehmer, Matthias ; Bakir, H. G. ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | Influence of Noise on the Inference of Dynamic Bayesian Networks from Short Time Series |
| Sprache: | Englisch |
| Publikationsjahr: | 2005 |
| Verlag: | World Academy of Science |
| Reihe: | Proceedings Of World Academy Of Science, Engineering And Technology |
| Band einer Reihe: | 10 |
| Veranstaltungstitel: | 8th Conference of the World Academy of Science, Engineering and Technology |
| Veranstaltungsort: | Cracow, Poland |
| Veranstaltungsdatum: | 16.-18.12.2005 |
| URL / URN: | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.192... |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | In this paper we investigate the influence of external noise on the inference of network structures. The purpose of our simulations is to gain insights in the experimental design of microarray experiments to infer, e.g., transcription regulatory networks from microarray experiments. Here external noise means, that the dynamics of the system under investigation, e.g., temporal changes of mRNA concentration, is affected by measurement errors. Additionally to external noise another problem occurs in the context of microarray experiments. Practically, it is not possible to monitor the mRNA concentration over an arbitrary long time period as demanded by the statistical methods used to learn the underlying network structure. For this reason, we use only short time series to make our simulations more biologically plausible. |
| Freie Schlagworte: | Dynamic Bayesian networks, structure learning, gene networks, Markov chain Monte Carlo, microarray data |
| Zusätzliche Informationen: | später ersch. in: International Journal of Bioengineering and Life Sciences Vol.1, No.10, 2007 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
| Hinterlegungsdatum: | 31 Dez 2016 12:59 |
| Letzte Änderung: | 25 Nov 2021 09:55 |
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