Multiple hypothesis testing in radiobiological omics study
10.3760/cma.j.issn.0254-5098.2021.07.012
- VernacularTitle:放射生物组学数据分析中的多重假设检验
- Author:
Yu GAO
1
;
Yinping SU
;
Quanfu SUN
Author Information
1. 中国疾病预防控制中心辐射防护与核安全医学所 辐射防护与核应急中国疾病预防控制中心重点实验室，北京 100088
- Keywords:
Family-wise error rate;
False discovery rate;
Multiple hypothesis test;
Radiobiological omics data
- From:
Chinese Journal of Radiological Medicine and Protection
2021;41(7):539-543
- CountryChina
- Language:Chinese
-
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 In this case, the traditional theory of single hypothesis testing is no longer applicable, and the issue of multiple hypothesis testing has received increasing attention.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.
