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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Metabolic modeling using statistical and spreadsheet software: Application to the glucose minimal model
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Metabolic modeling using statistical and spreadsheet software: Application to the glucose minimal model

机译：使用统计和电子表格软件的代谢建模：应用于葡萄糖最小模型

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摘要

Kinetic non-linear metabolic models are used extensively in medical research and increasingly for clinical diagnostic purposes. An example of such a model is the Glucose Minimal Model by Bergman and colleagues [1]. This model is similar to pharmacokinetic/pharmacodynamic models in that like pharma- cokinetic/pharmacodynamic models, it is based on a small number of fairly simple ordinary differential equations and it aims to determine how the changing concentration of one blood constituent influences the concentration of another constituent. Although such models may appear prima facie, to be relatively simple, they have gained a reputation of being difficult to fit to data, especially in a consistent and repeatable fashion. Consequently, researchers and clinicians have generally relied on dedicated software packages to do this type of modeling.
机译：动力学非线性代谢模型广泛用于医学研究，越来越多地用于临床诊断目的。 这种模型的一个例子是Bergman和同事的葡萄糖最小模型[1]。 该模型类似于药代动力学/药物动力学模型，如Pharma-Cokinetic / Pharmacocynamic模型，它基于少量的相当简单的常微分方程，并且它旨在确定一种血液成分的变化浓度如何影响另一个血液成分的浓度 组分。 虽然这种模型可能出现Prima所面临的，但相对简单，他们获得了难以适应数据的声誉，尤其是以一致和可重复的方式。 因此，研究人员和临床医生通常依赖于专用软件包来完成这种类型的建模。

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