Shrunken p-values for assessing differential expression with applications to genomic data analysis.
Shrunken p-values for assessing differential expression with applications to genomic data analysis.
复制标题
缩小的 p 值用于评估差异表达及其在基因组数据分析中的应用。
DOI：
10.1111/j.1541-0420.2006.00616.x
复制
发表时间：
2006
期刊：
影响因子：
1.9
通讯作者：
Ghosh,Debashis
中科院分区：
文献类型：
--
作者：
Ghosh,Debashis
在许多涉及高通量技术的科学问题中，必须进行涉及数百或数千个假设的推理。最近的注意力集中在如何解决多重测试问题上；人们非常关注错误发现率的使用。在本文中，我们考虑了一种名为 shrunkenp-values 的替代估计程序，用于评估差异表达 (SPADE)。估计器的动机是决策理论中的风险考虑，并导致了一种全新的多重测试问题调整方法。此外，决策理论框架可用于导出用于控制误报结果数量的决策规则。概述了一些理论结果。所提出的方法通过模拟研究以及前列腺癌基因表达谱研究数据的应用来说明。
In many scientific problems involving high-throughput technology, inference must be made involving several hundreds or thousands of hypotheses. Recent attention has focused on how to address the multiple testing issue; much focus has been devoted toward the use of the false discovery rate. In this article, we consider an alternative estimation procedure titled shrunkenp-values for assessing differential expression (SPADE). The estimators are motivated by risk considerations from decision theory and lead to a completely new method for adjustment in the multiple testing problem. In addition, the decision-theoretic framework can be used to derive a decision rule for controlling the number of false positive results. Some theoretical results are outlined. The proposed methodology is illustrated using simulation studies and with application to data from a prostate cancer gene expression profiling study.