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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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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).
Journal cover image

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