Titlebook: Uncertainty in Biology; A Computational Mode Liesbet Geris,David Gomez-Cabrero Book 2016 The Editor(s) (if applicable) and The Author(s), u

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1868-2006 medical processes under uncertainty.Presents the main outcomComputational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myria

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Optimization in Biology Parameter Estimation and the Associated Optimization Problemn step, where the parameter space is explored to find interesting regions. In this chapter we review the parameter estimation problem, with a special emphasis on the associated optimization methods. In relation to this, we also provide concepts and tools to help you select the appropriate methodology for a specific scenario.

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Interval Methodserated by set-valued constraint propagation, which allows great improvement of its efficiency. To illustrate the applicability of our method we apply it to some networks of biochemical reactions modeled by a generic class of ODEs called Generalized Mass Action Models (GMAs).

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Statistical Data Analysis and Modelingecomes particularly important for understanding higher-order datasets. Therefore, we will also discuss how to scale up these methods to tensor decomposition using an example dealing with host-cell responses to viral infection.

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An Introduction to Uncertainty in the Development of Computational Models of Biological Processess allow to assess the influence of the previous choices on the model output. Additionally, model adaptation permits to focus on specific aspects of the model without losing its global predictive capacity. Finally, predictions with the established models should also consider the effect of uncertainty in the model development process.

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ersuchung/Behandlung einschließlich der Varianten auf und enden mit der Nachsorge des Patienten. Wo immer möglich haben die Autoren Tipps und Tricks angefügt, die den Arbeitsablauf erleichtern oder die Hinweise auf mögliche Komplikationen und deren Vermeidung geben.978-3-540-42993-7978-3-642-55930-3