In many multiple testing applications in genetics, the signs of the test statistics provide useful directional information, such as whether genes are potentially up- or down-regulated between two experimental conditions. However, most existing procedures that control the false discovery rate (FDR) are p-value based and ignore such directional information. We introduce a novel procedure, the signed-knockoff procedure, to utilize the directional information and control the FDR in finite samples. We demonstrate the power advantage of our procedure through simulation studies and two real applications. This article is protected by copyright. All rights reserved.

中文翻译：

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一个强大的程序，通过方向信息控制错误发现率

在遗传学的许多多重测试应用中，测试统计的符号提供了有用的方向信息，例如基因在两个实验条件之间是否可能上调或下调。然而，大多数现有的控制错误发现率 (FDR) 的程序都是基于 p 值的，并且忽略了这种方向信息。我们引入了一种新的程序，即signed-knockoff 程序，以利用方向信息并控制有限样本中的 FDR。我们通过模拟研究和两个实际应用证明了我们程序的功率优势。本文受版权保护。版权所有。