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Efficient 2~k factorial designs for blocks of size 2 with microarray applications

机译:适用于大小为2的模块的高效2〜k因子设计以及微阵列应用

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When a two-level design must be run in blocks of size two, there is a unique blocking scheme that enables estimation of all the main effects. Unfortunately, this design does not enable estimation of any two-factor interactions. When the experimental goal is to estimate all main effects and two-factor interactions, it is necessary to combine replicates of the experilJlent that use different blocking schemes. This research was motivated by the problem of designing experiments for two-color microarrays, which are an impo,rtant tool in modern molecular biology. Microarrays are used to quantify levels of gene transcription, which can loosely be considered the 'level of activity' of a gene. Microarrays can make these measurements for thousands of genes at a time. Two-color microarrays are small slides containing thousands of spots. Each spot contains single-stranded DNA molecules corresponding to a particular gene in the I genome of an organism under study.
机译:当必须在大小为2的块中运行二级设计时,有一种独特的阻塞方案可以估算所有主要影响。不幸的是,这种设计不能估计任何两因素的相互作用。当实验目标是估计所有主要影响和两因素相互作用时,有必要将使用不同阻断方案的实验重复品结合起来。这项研究的动机是设计双色微阵列实验的问题,这是现代分子生物学中一种重要的工具。微阵列用于量化基因转录的水平,可以将其宽松地认为是基因的“活性水平”。微阵列可以一次对数千个基因进行这些测量。双色微阵列是包含数千个斑点的小型载玻片。每个斑点包含对应于被研究生物的I基因组中特定基因的单链DNA分子。

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