DNA微阵列实验的质量控制和可重复性。

André Fujita, J. Sato, Fernando H L DA Silva, Maria C Galvão, M. Sogayar, S. Miyano
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引用次数: 2

摘要

生物实验通常在技术重复(重复或三次)中进行,以确保再现性,并评估实验过程中引入的任何重大错误。生物数据分析的第一步是检查技术重复,并确认测量误差足够小,无需关注。然而,这部分的分析却很少受到重视。在此,我们提出了一个估计测量误差的一般过程,从而提供一个可解释和客观的方法来确保技术复制的质量。特别地,我们说明了我们在技术副本中建立的DNA微阵列数据集中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality control and reproducibility in DNA microarray experiments.
Biological experiments are usually set up in technical replicates (duplicates or triplicates) in order to ensure reproducibility and, to assess any significant error introduced during the experimental process. The first step in biological data analysis is to check the technical replicates and to confirm that the error of measure is small enough to be of no concern. However, little attention has been paid to this part of analysis. Here, we propose a general process to estimate the error of measure and consequently, to provide an interpretable and objective way to ensure the technical replicates' quality. Particularly, we illustrate our application in a DNA microarray dataset set up in technical duplicates.
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