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Two-stage normalization using background intensities in cDNA microarray data

机译:使用cDNA微阵列数据中的背景强度进行两阶段归一化

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摘要

BackgroundIn the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the measured gene expression levels. Normalization plays an important role in the earlier stage of microarray data analysis. The subsequent analysis results are highly dependent on normalization. One major source of variation is the background intensities. Recently, some methods have been employed for correcting the background intensities. However, all these methods focus on defining signal intensities appropriately from foreground and background intensities in the image analysis. Although a number of normalization methods have been proposed, no systematic methods have been proposed using the background intensities in the normalization process.
机译:背景技术在微阵列实验中,通常观察到许多不希望有的系统变异。标准化是消除影响测量的基因表达水平的此类变异的过程。归一化在微阵列数据分析的早期阶段起着重要作用。后续分析结果高度依赖于归一化。变化的一个主要来源是背景强度。最近,已经采用了一些方法来校正背景强度。然而,所有这些方法集中于在图像分析中根据前景和背景强度适当地定义信号强度。尽管已提出了多种归一化方法,但尚未提出在归一化过程中使用背景强度的系统方法。

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