双色cDNA芯片数据比例计算公式的仿真研究。

Hui Jia, Le Lu, Shiau-Chuen Hng, Jinming Li
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引用次数: 2

摘要

在cDNA微阵列图像处理中,有不同的通道比计算方法。标准的微阵列图像分析软件,如Axon GenePix Pro,使用不同的方法(即均值之比,中位数之比,均值之比,均值之比,中位数之比和回归比)从定义给定点的像素计算通道比率。然后,使用不同方法计算的比率值将列在输出文件中。由于没有提供指导方针,微阵列用户必须自行选择一种可用的方法。因此,我们的目标是解决微阵列用户最常问的问题之一:应该使用图像分析软件提供的哪个比率数量?在本研究中,我们使用模拟研究评估了五种不同的比率计算方法。我们的结果表明,在大多数情况下,均值之比似乎是最好的方法,特别是当双通道像素强度的方差系数(CV)很小(
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation study of ratio calculation formulae of two-colour cDNA microarray data.

In cDNA microarray image processing, there are different methods for calculating the channel ratios. Standard microarray image analysis software, such as the Axon GenePix Pro, calculate the channel ratio from pixels that define a given spot using different methods (i.e. ratio of means, ratio of medians, mean of ratios, median of ratios, and regression ratio). Ratio values calculated using the different methods will then be listed in an output file. Microarray users have to choose one of the available methods at their own discretion, as no guidelines are provided. Therefore, we aim to address one of the most frequently asked questions by the microarray users: which ratio quantity provided by the image analysis software should be used? In this study, we have evaluated the five different ratio calculation approaches using simulation studies. Our results suggest that in most circumstances the ratio of means appears to be the best approach, particularly when the coefficient of variance (CV) of two-channel pixel intensities are small (<0.5) and channel intensities are large. Conversely, the ratio of medians and the median of ratios are more favourable when the CV is large.

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