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On the A-Optimality Criterion for Finding Two-Color Microarray Optimal Designs

机译:寻找双色微阵列最优设计的A最优准则

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摘要

Several studies on two-color microarray experimental designs consider the A-optimality criterion for the assessment and/or search of appropriate/optimal designs. What seems to be widely ignored, however, is the well-known fact that A-optimal designs depend on the choice of scale or code combination of the X-variables. In this article, it is shown that intrinsically different optimal microarray designs will be obtained depending on the chosen code combination of the qualitative factors. Moreover, a substantial loss in efficiency will result when a design, which is optimal for a specific code combination, is used for another one. This coding problematic is also applicable to the admissibility concept.
机译:关于双色微阵列实验设计的多项研究考虑了A最优准则,用于评估和/或搜索适当/最佳设计。然而,众所周知的事实是,A最佳设计取决于X变量的比例或代码组合的选择。在本文中,表明将根据选择的定性因素的编码组合获得本质上不同的最佳微阵列设计。而且,当针对特定代码组合最佳的设计用于另一代码组合时,将导致效率的实质损失。这个编码问题也适用于可容许性概念。

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