Weighted multiple testing procedures for genomic studies

被引：12
|
作者：
Gui, Jiang [1 ,3 ]
Tosteson, Tor D. [1 ]
Borsuk, Mark [2 ]
机构：
[1] Geisel Sch Med, Dept Community & Family Med, Epidemiol & Biostat Sect, Lebanon, NH USA
[2] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA
[3] Dartmouth Hitchcock Med Ctr, Lebanon, NH 03756 USA
来源：
BIODATA MINING | 2012年 / 5卷
基金：
美国国家卫生研究院;
关键词：
False discovery rate; Family-wise error rate; Genomic studies; FALSE DISCOVERY RATE; ASSOCIATION; POWER;
D O I：
10.1186/1756-0381-5-4
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
With the rapid development of biological technology, measurement of thousands of genes or SNPs can be carried out simultaneously. Improved procedures for multiple hypothesis testing when the number of tests is very large are critical for interpreting genomic data. In this paper, we review recent developments on three distinct but closely related methods involving p-value weighting to improve statistical power while also controlling for the false discovery rate or the family wise error rate.
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页数：9
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