Multiple testing in large-scale contingency tables: Inferring patterns of pair-wise amino acid association in β-sheets

Seoung Bum Kim, Kwok Leung Tsui, Mark Borodovsky

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This study examines the feasibility of using multiple testing procedures for an inference of independence of categories in each cell in contingency tables. In the simulation study, we compare the performance of various multiple testing procedures in a contingency table setup and demonstrate the relationship among the proportion of true null hypothesis, type I error, power, and false discovery rate. Finally, we apply the proposed methodology to identify the patterns of pair-wise associations of amino acids involved in β-sheet bridges in proteins. We identify a number of amino acid pairs that exhibit either strong or weak association.

Original languageEnglish
Pages (from-to)193-217
Number of pages25
JournalInternational Journal of Bioinformatics Research and Applications
Volume2
Issue number2
DOIs
Publication statusPublished - 2006

Keywords

  • Contingency table
  • False discovery rate
  • Multiple testing
  • β-strands

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Clinical Biochemistry
  • Health Information Management

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