Weighted multiple testing procedures for genomic studies

BioData Mining

Jiang Gui²  Tor D Tosteson³  Mark Borsuk¹ 

[1] Thayer School of Engineering, Dartmouth College, Hanover, NH, USA

[2] Dartmouth-Hitchcock Medical Center, One Medical Center Dr., 883 Rubin Bldg, HB7927, Lebanon, NH 03756, USA

[3] Section of Biostatistics and Epidemiology, Department of Community and Family Medicine, Geisel School of Medicine, Lebanon, NH, USA

关键词: Genomic studies;    Family-wise error rate;    False discovery rate;   

Others  :  797285
DOI  :  10.1186/1756-0381-5-4

 received in 2012-01-27, accepted in 2012-05-14,  发布年份 2012

【 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.

【 授权许可】

   
2012 Gui et al.; licensee BioMed Central Ltd.

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