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Null-free False Discovery Rate Control Using Decoy Permutations

文献类型：期刊论文

作者He, Kun1,3; Li, Meng-jie1,2; Fu, Yan1,2; Gong, Fu-zhou1,2; Sun, Xiao-ming1,3
刊名ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES
出版日期2022-04-01
卷号38期号:2页码:235-253
关键词multiple testing false discovery rate null distribution-free p-value-free decoy permutations knockoff filter
ISSN号0168-9673
DOI10.1007/s10255-022-1077-5
英文摘要The traditional approaches to false discovery rate (FDR) control in multiple hypothesis testing are usually based on the null distribution of a test statistic. However, all types of null distributions, including the theoretical, permutation-based and empirical ones, have some inherent drawbacks. For example, the theoretical null might fail because of improper assumptions on the sample distribution. Here, we propose a null distribution-free approach to FDR control for multiple hypothesis testing in the case-control study. This approach, named target-decoy procedure, simply builds on the ordering of tests by some statistic or score, the null distribution of which is not required to be known. Competitive decoy tests are constructed from permutations of original samples and are used to estimate the false target discoveries. We prove that this approach controls the FDR when the score function is symmetric and the scores are independent between different tests. Simulation demonstrates that it is more stable and powerful than two popular traditional approaches, even in the existence of dependency. Evaluation is also made on two real datasets, including an arabidopsis genomics dataset and a COVID-19 proteomics dataset.
资助项目National Key R&D Program of China[2018YFB0704304] ; National Natural Science Foundation of China[32070668] ; National Natural Science Foundation of China[62002231] ; National Natural Science Foundation of China[61832003] ; National Natural Science Foundation of China[61433014] ; K.C. Wong Education Foundation
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000781349200001
出版者SPRINGER HEIDELBERG
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/60340]  
专题应用数学研究所
通讯作者Fu, Yan
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, RCSDS, CEMS,NCMIS, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 He, Kun,Li, Meng-jie,Fu, Yan,et al. Null-free False Discovery Rate Control Using Decoy Permutations[J]. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2022,38(2):235-253.
APA He, Kun,Li, Meng-jie,Fu, Yan,Gong, Fu-zhou,&Sun, Xiao-ming.(2022).Null-free False Discovery Rate Control Using Decoy Permutations.ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,38(2),235-253.
MLA He, Kun,et al."Null-free False Discovery Rate Control Using Decoy Permutations".ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES 38.2(2022):235-253.

入库方式： OAI收割

来源：数学与系统科学研究院

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