A powerful procedure that controls the false discovery rate with directional information
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Updated: Dec 24, 2025

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
Published on: September 20, 2022
Zhaoyang Tian1, Kun Liang1, Pengfei Li1
1Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
Abstract:
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.
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