| Gao Yu,Su Yinping,Sun Quanfu.Multiple hypothesis testing in radiobiological omics study[J].Chinese Journal of Radiological Medicine and Protection,2021,41(7):539-543 |
| Multiple hypothesis testing in radiobiological omics study |
| Received:January 15, 2021 |
| DOI：10.3760/cma.j.issn.0254-5098.2021.07.012 |
| KeyWords:Family-wise error rate False discovery rate Multiple hypothesis test Radiobiological omics data |
| FundProject: |
| Author Name | Affiliation | E-mail | | Gao Yu | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Su Yinping | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Sun Quanfu | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | sunquanfu@nirp.chinacdc.cn |
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| Abstract:: |
| With the development of high-throughput sequencing technology, the high-dimensional massive data obtained in omics study puts forward new requirements for statistical analysis. In this case, the traditional theory of single hypothesis testing is no longer applicable, and the issue of multiple hypothesis testing has received increasing attention. This paper introduced three commonly used error measures in multiple testing-family-wise error rate (FWER), false discovery rate (FDR), and positive false discovery rate (pFDR), and the control process in radiobiological omics data analysis,in order to provide a reference for statistical analysis of radiobiological data. |
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