Multiple hypothesis testing in radiobiological omics study / 中华放射医学与防护杂志
Chinese Journal of Radiological Medicine and Protection
;
(12): 539-543, 2021.
Article
in Chinese
| WPRIM
| ID: wpr-910354
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 In this case, the traditional theory of single hypothesis testing is no longer applicable, and the issue of multiple hypothesis testing has received increasing attention.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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Language:
Chinese
Journal:
Chinese Journal of Radiological Medicine and Protection
Year:
2021
Type:
Article
Similar
MEDLINE
...
LILACS
LIS