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Statistical design of reverse dye microarrays.

机译:反向染料微阵列的统计设计。

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Motivation: In cDNA microarray experiments all samples are labelled with either Cy3 dye or Cy5 dye. Certain genes exhibit dye bias-a tendency to bind more efficiently to one of the dyes. The common reference design avoids the problem of dye bias by running all arrays 'forward', so that the samples being compared are always labelled with the same dye. But comparison of samples labelled with different dyes is sometimes of interest. In these situations, it is necessary to run some arrays 'reverse'-with the dye labelling reversed-in order to correct for the dye bias. The design of these experiments will impact one's ability to identify genes that are differentially expressed in different tissues or conditions. We address the design issue of how many specimens are needed, how many forward and reverse labelled arrays to perform, and how to optimally assign Cy3 and Cy5 labels to the specimens. Results: We consider three types of experiments for which some reverse labelling is needed: paired samples, samples from two predefined groups, and reference design data when comparison with the reference is of interest. We present simple probability models for the data, derive optimal estimators for relative gene expression, and compare the efficiency of the estimators for a range of designs. In each case, we present the optimal design and sample size formulas. We show that reverse labelling of individual arrays is generally not required. Contact: dobbinke@mail.nih.gov. Supplementary information: Supplementary material referenced in the text is available at http://linus.nci.nih.gov/~brb/TechReport.htm
机译:动机:在cDNA微阵列实验中,所有样品都用Cy3染料或Cy5染料标记。某些基因表现出染料偏向性-一种更有效地与一种染料结合的趋势。通用参考设计通过“向前”运行所有阵列避免了染料偏倚的问题,因此要比较的样品始终使用相同的染料标记。但是有时会比较标有不同染料的样品。在这些情况下,有必要“反转”运行某些阵列(将染料标记反转),以校正染料偏差。这些实验的设计将影响一个人识别在不同组织或条件下差异表达的基因的能力。我们解决了以下设计问题:需要多少个样本,要执行多少个正向和反向标记的数组以及如何为样本最佳分配Cy3和Cy5标签。结果:我们考虑需要对某些实验进行反向标记的三种类型的实验:成对的样品,来自两个预定义组的样品以及与参考物进行比较时的参考设计数据。我们为数据提供简单的概率模型,得出相对基因表达的最佳估计量,并比较一系列设计的估计量效率。在每种情况下,我们都会提供最佳设计和样本量公式。我们表明,通常不需要对单个数组进行反向标记。联系人:dobbinke@mail.nih.gov。补充信息:文本中引用的补充材料可从http://linus.nci.nih.gov/~brb/TechReport.htm获得。

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