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Impact of the spotted microarray preprocessing method on fold-change compression and variance stability

机译:点状微阵列预处理方法对倍数变化压缩和方差稳定性的影响

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摘要

BackgroundThe standard approach for preprocessing spotted microarray data is to subtract the local background intensity from the spot foreground intensity, to perform a log2 transformation and to normalize the data with a global median or a lowess normalization. Although well motivated, standard approaches for background correction and for transformation have been widely criticized because they produce high variance at low intensities. Whereas various alternatives to the standard background correction methods and to log2 transformation were proposed, impacts of both successive preprocessing steps were not compared in an objective way.
机译:背景预处理斑点微阵列数据的标准方法是从斑点前景强度中减去局部背景强度,执行log2转换并使用全局中位数或最低归一化将数据归一化。尽管动机很好,但是背景校正和变换的标准方法已广受批评,因为它们在低强度下会产生高方差。虽然提出了标准背景校正方法和log2转换的各种替代方法,但并未客观地比较两个连续预处理步骤的影响。

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