一种用于分析两类数据的简单秩积方法。
A Simple Rank Product Approach for Analyzing Two Classes.
作者信息
Yang Tae Young
机构信息
Department of Mathematics, Myongji University, Yongin, Kyonggi, Korea.
出版信息
Bioinform Biol Insights. 2015 Jul 16;9:119-23. doi: 10.4137/BBI.S26414. eCollection 2015.
Abstract
The rank product statistic has been widely used to detect differentially expressed genes in replicated microarrays and a one-class setting. The objective of this article is to apply a rank product statistic to approximate the P-value of differential expression in a two-class setting, such as in normal and cancer cells. For this purpose, we introduce a simple statistic that compares the P-values of each class's rank product statistic. Its null distribution is straightforwardly derived using the change-of-variable technique.
摘要
秩积统计量已被广泛用于在重复微阵列和单类设置中检测差异表达基因。本文的目的是应用秩积统计量来近似两类设置（如正常细胞和癌细胞）中差异表达的P值。为此，我们引入一个简单的统计量，该统计量比较每个类别的秩积统计量的P值。其零分布使用变量变换技术直接推导得出。
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