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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.15631 |
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| _version_ | 1866916853918466048 |
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| author | Tian, Zhaoyang Liang, Kun Li, Pengfei |
| author_facet | Tian, Zhaoyang Liang, Kun Li, Pengfei |
| contents | In many multiple testing applications in genetics, the signs of 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_15631 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A powerful procedure that controls the false discovery rate with directional information Tian, Zhaoyang Liang, Kun Li, Pengfei Methodology In many multiple testing applications in genetics, the signs of 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. |
| title | A powerful procedure that controls the false discovery rate with directional information |
| topic | Methodology |
| url | https://arxiv.org/abs/2507.15631 |