Park Taesung, Kim Kiwoong, Yi Sung-Gon, Kim Jin Hyuk, Lee Yong-Sung, Lee Seungyeoun
Department of Statistics, Seoul National University, Seoul, Korea.
J Bioinform Comput Biol. 2007 Aug;5(4):865-73. doi: 10.1142/s0219720007002928.
In two-channel microarray experiments, the image analysis extracts red and green fluorescence intensities. The ratio of the two fluorescence intensities represents the relative abundance of the corresponding DNA sequence. The subsequent analysis is performed by taking a log-transformation of this ratio. Therefore, the statistical analyses depend on accuracy of the ratios calculated from the image analysis. However, not many studies have been proposed for developing more reliable ratio statistics. In this paper, we consider a new type of log-transformed ratio statistic. We compare the new ratio statistic with the conventional ratio statistic commonly used in two-channel microarray experiments. First, under the specific log-normal distributional assumption, we compare analytically the new statistics with the conventional ratio statistic. Second, we compare those ratio statistics using a two-channel microarray data obtained by hybridizing a mixture of mouse RNA and yeast in vitro transcript (IVT). Both comparisons show that the proposed ratio statistic performs better than the conventional one.
在双通道微阵列实验中,图像分析提取红色和绿色荧光强度。两种荧光强度的比值代表相应DNA序列的相对丰度。后续分析通过对该比值进行对数变换来进行。因此,统计分析依赖于从图像分析计算出的比值的准确性。然而,尚未提出许多研究来开发更可靠的比值统计方法。在本文中,我们考虑一种新型的对数变换比值统计量。我们将新的比值统计量与双通道微阵列实验中常用的传统比值统计量进行比较。首先,在特定的对数正态分布假设下,我们对新统计量与传统比值统计量进行分析比较。其次,我们使用通过将小鼠RNA和酵母体外转录本(IVT)的混合物进行杂交获得的双通道微阵列数据来比较那些比值统计量。两种比较均表明,所提出的比值统计量比传统统计量表现更好。