A review of graphical methods for tracer studies and strategies to reduce bias
A review of graphical methods for tracer studies and strategies to reduce bias
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DOI：
10.1016/s0969-8051(03)00114-8
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发表时间：
2003-11-01
影响因子：
3.1
通讯作者：
Logan, J
中科院分区：
文献类型：
--
作者：
Logan, J
图形技术为示踪剂研究数据的分析提供了简单的方法。它们提供了相当容易的计算相比，在一般用于描述示踪剂的结合的微分方程的解决方案中的单个模型参数的优化。Patlak的理论工作被应用于不可逆示踪剂形成的基础上扩展的图形技术可逆结合示踪剂。图形方法的优点是它们不依赖于特定的模型结构，而是提供了一种跟踪绑定的度量，如果需要，可以根据模型结构来解释该度量。它们提供了一种直观的方法来区分结合的类型，无论是可逆的还是不可逆的，在新配体的初步研究。条件下，可以应用图形技术被认为是以及遇到的问题与缓慢的绑定组件。在使用这些方法，特别是可逆示踪剂的方法中的一个问题是由于统计噪声的存在而产生的偏差。最近提出的一些技术，用于减少噪声被认为是。(C)2003年爱思唯尔公司All rights reserved.
Graphical techniques provide simple methods for the analysis of data from tracer studies. They provide considerable ease of computation compared to the optimization of individual model parameters in the solution of the differential equations generally used to describe the binding of tracers. The theoretical work of Patlak which was applied to irreversible tracers formed the basis for extensions of graphical techniques to reversibly binding tracers. The advantage of graphical methods is that they are not dependent upon a particular model structure but provide a measure of tracer binding that can be interpreted in terms of a model structure if desired. They provide a visual way to distinguish the type of binding whether reversible or irreversible in the initial studies of new ligands. Conditions under which the graphical techniques can be applied are considered as well as problems encountered with slow binding components. One problem in the use of these methods particularly the method for reversible tracers is the bias generated due to the presence of statistical noise. Some recently proposed techniques for reducing the noise are considered. (C) 2003 Elsevier Inc. All rights reserved.