Koziol James A
Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA.
FEBS Lett. 2016 Jun;590(11):1586-91. doi: 10.1002/1873-3468.12194. Epub 2016 Jun 1.
The rank product method introduced by Breitling R et al. [2004, FEBS Letters 573, 83-92] has rapidly generated popularity in practical settings, in particular, detecting differential expression of genes in microarray experiments. The purpose of this note is to point out a particular property of the rank product method, namely, its differential sensitivity to over- and underexpression. It turns out that overexpression is less likely to be detected than underexpression with the rank product statistic. We have conducted both empirical and exact power studies that demonstrate this phenomenon, and summarize these findings in this note.
Breitling R等人[2004年,《欧洲生物化学学会联合会快报》573卷,83 - 92页]提出的秩乘积法在实际应用中迅速受到欢迎,特别是在检测微阵列实验中基因的差异表达方面。本注释的目的是指出秩乘积法的一个特殊性质,即它对过表达和低表达的差异敏感性。结果表明,使用秩乘积统计量时,过表达比低表达更不容易被检测到。我们进行了实证和精确功效研究来证明这一现象,并在本注释中总结这些发现。