关于分析重复实验的秩和检验方法的评论。
Comments on the rank product method for analyzing replicated experiments.
机构信息
Department of Molecular and Experimental Medicine, The Scripps Research Institute, MEM216, 10550 N Torrey Pines Rd, La Jolla, CA 92037, USA.
出版信息
FEBS Lett. 2010 Mar 5;584(5):941-4. doi: 10.1016/j.febslet.2010.01.031. Epub 2010 Jan 20.
Abstract
Breitling et al. introduced a statistical technique, the rank product method, for detecting differentially regulated genes in replicated microarray experiments. The technique has achieved widespread acceptance and is now used more broadly, in such diverse fields as RNAi analysis, proteomics, and machine learning. In this note, we relate the rank product method to linear rank statistics and provide an alternative derivation of distribution theory attending the rank product method.
摘要
布赖特林等人引入了一种统计技术，即秩乘积方法，用于检测重复微阵列实验中差异调节的基因。该技术已被广泛接受，现在更广泛地应用于 RNAi 分析、蛋白质组学和机器学习等不同领域。在本说明中，我们将秩乘积方法与线性秩统计相关联，并提供与秩乘积方法相关的分布理论的替代推导。
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