Weighted multiple testing procedures for genomic studies
Publication
, Journal Article
Gui, J; Tosteson, TD; Borsuk, M
Published in: BioData Mining
June 11, 2012
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. © 2012 Gui et al.; licensee BioMed Central Ltd.
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Published In
BioData Mining
DOI
EISSN
1756-0381
Publication Date
June 11, 2012
Volume
5
Issue
1
Related Subject Headings
- 4605 Data management and data science
- 3102 Bioinformatics and computational biology
- 1303 Specialist Studies in Education
- 1101 Medical Biochemistry and Metabolomics
- 0801 Artificial Intelligence and Image Processing
Citation
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MLA
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Gui, J., Tosteson, T. D., & Borsuk, M. (2012). Weighted multiple testing procedures for genomic studies. BioData Mining, 5(1). https://doi.org/10.1186/1756-0381-5-4
Gui, J., T. D. Tosteson, and M. Borsuk. “Weighted multiple testing procedures for genomic studies.” BioData Mining 5, no. 1 (June 11, 2012). https://doi.org/10.1186/1756-0381-5-4.
Gui J, Tosteson TD, Borsuk M. Weighted multiple testing procedures for genomic studies. BioData Mining. 2012 Jun 11;5(1).
Gui, J., et al. “Weighted multiple testing procedures for genomic studies.” BioData Mining, vol. 5, no. 1, June 2012. Scopus, doi:10.1186/1756-0381-5-4.
Gui J, Tosteson TD, Borsuk M. Weighted multiple testing procedures for genomic studies. BioData Mining. 2012 Jun 11;5(1).
Published In
BioData Mining
DOI
EISSN
1756-0381
Publication Date
June 11, 2012
Volume
5
Issue
1
Related Subject Headings
- 4605 Data management and data science
- 3102 Bioinformatics and computational biology
- 1303 Specialist Studies in Education
- 1101 Medical Biochemistry and Metabolomics
- 0801 Artificial Intelligence and Image Processing