Identification of Dynamic BioModels Based on Sensitivity Analysis
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Identification of Dynamic BioModels Based on Sensitivity Analysis (Paperback) (2016)
DE PB NWISBN: 9783659672118 bzw. 3659672114, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English . Brand New Book. The research to be presented will focus on the robust identification of dynamic metabolic flux models based on parametric sensitivity analysis. The particular case study that is chosen to illustrate the proposed method is Diauxic growth in Escherichia coli in a batch culture. This approach intends to show how to identify the model parameters of the dynamic model based on a parametric sensitivity analysis that explicitly accounts for correlations in the data. The sensitivity is quantified by a parameter sensitivity spectrum. Then, the parameters are ranked based on this analysis to assess whether a subset of the parameters can be eliminated from further analysis. Finally, identification of the remaining significant parameters is based on the maximization of an overall parametric sensitivity measure subject to set based constraints that are derived from the available data. The parametric sensitivity method is global in the sense that it examines the simultaneous variation of all the model s outputs instead of focusing on outputs variables one at a time.
Language: English . Brand New Book. The research to be presented will focus on the robust identification of dynamic metabolic flux models based on parametric sensitivity analysis. The particular case study that is chosen to illustrate the proposed method is Diauxic growth in Escherichia coli in a batch culture. This approach intends to show how to identify the model parameters of the dynamic model based on a parametric sensitivity analysis that explicitly accounts for correlations in the data. The sensitivity is quantified by a parameter sensitivity spectrum. Then, the parameters are ranked based on this analysis to assess whether a subset of the parameters can be eliminated from further analysis. Finally, identification of the remaining significant parameters is based on the maximization of an overall parametric sensitivity measure subject to set based constraints that are derived from the available data. The parametric sensitivity method is global in the sense that it examines the simultaneous variation of all the model s outputs instead of focusing on outputs variables one at a time.
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Symbolbild
Identification of Dynamic BioModels Based on Sensitivity Analysis (2016)
DE PB NWISBN: 9783659672118 bzw. 3659672114, in Deutsch, LAP Lambert Academic Publishing Sep 2016, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Neuware - The research to be presented will focus on the robust identification of dynamic metabolic flux models based on parametric sensitivity analysis. The particular case study that is chosen to illustrate the proposed method is Diauxic growth in Escherichia coli in a batch culture. This approach intends to show how to identify the model parameters of the dynamic model based on a parametric sensitivity analysis that explicitly accounts for correlations in the data. The sensitivity is quantified by a parameter sensitivity spectrum. Then, the parameters are ranked based on this analysis to assess whether a subset of the parameters can be eliminated from further analysis. Finally, identification of the remaining significant parameters is based on the maximization of an overall parametric sensitivity measure subject to set based constraints that are derived from the available data. The parametric sensitivity method is global in the sense that it examines the simultaneous variation of all the model's outputs instead of focusing on outputs variables one at a time. 124 pp. Englisch.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Neuware - The research to be presented will focus on the robust identification of dynamic metabolic flux models based on parametric sensitivity analysis. The particular case study that is chosen to illustrate the proposed method is Diauxic growth in Escherichia coli in a batch culture. This approach intends to show how to identify the model parameters of the dynamic model based on a parametric sensitivity analysis that explicitly accounts for correlations in the data. The sensitivity is quantified by a parameter sensitivity spectrum. Then, the parameters are ranked based on this analysis to assess whether a subset of the parameters can be eliminated from further analysis. Finally, identification of the remaining significant parameters is based on the maximization of an overall parametric sensitivity measure subject to set based constraints that are derived from the available data. The parametric sensitivity method is global in the sense that it examines the simultaneous variation of all the model's outputs instead of focusing on outputs variables one at a time. 124 pp. Englisch.
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Identification of Dynamic BioModels Based on Sensitivity Analysis
DE HC NWISBN: 9783659672118 bzw. 3659672114, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Identification of Dynamic BioModels Based on Sensitivity Analysis
~EN NW ABISBN: 9783659672118 bzw. 3659672114, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
Symbolbild
Identification of Dynamic BioModels Based on Sensitivity Analysis
DE PB NWISBN: 9783659672118 bzw. 3659672114, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
Identification of Dynamic BioModels Based on Sensitivity Analysis
~EN PB NWISBN: 9783659672118 bzw. 3659672114, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Identification of Dynamic BioModels Based on Sensitivity Analysis
~EN PB NWISBN: 3659672114 bzw. 9783659672118, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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