Approximate variance-stabilizing transformations for gene-expression microarray data
Approximate variance-stabilizing transformations for gene-expression microarray data
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DOI：
10.1093/bioinformatics/btg107
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发表时间：
2003-05-22
期刊：
影响因子：
5.8
通讯作者：
Durbin, B
中科院分区：
文献类型：
--
作者：
Rocke, DM;Durbin, B
动机：几个研究小组最近独立引入了微阵列数据的方差稳定转换。这种变换有时被称为广义对数或glog变换。在本文中，我们推导出几种替代的近似方差稳定变换，可能更容易使用在某些application.Results：我们表明，启动对数和对数线性混合变换家庭可以产生近似方差稳定的微阵列数据的转换，几乎一样好的广义对数（glog）变换。这些变换在某些应用中可能更方便。
Motivation: A variance stabilizing transformation for microarray data was recently introduced independently by several research groups. This transformation has sometimes been called the generalized logarithm or glog transformation. In this paper, we derive several alternative approximate variance stabilizing transformations that may be easier to use in some applications.Results: We demonstrate that the started-log and the log-linear-hybrid transformation families can produce approximate variance stabilizing transformations for microarray data that are nearly as good as the generalized logarithm (glog) transformation. These transformations may be more convenient in some applications.