Applications of multifactor dimensionality reduction to genome-wide data using the R package 'MDR'

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

This chapter describes how to use the R package 'MDR' to search and identify gene-gene interactions in high-dimensional data and illustrates applications for exploratory analysis of multi-locus models by providing specific examples.

Original languageEnglish (US)
Title of host publicationGenome-Wide Association Studies and Genomic Prediction
Pages479-498
Number of pages20
DOIs
StatePublished - Sep 3 2013

Publication series

NameMethods in Molecular Biology
Volume1019
ISSN (Print)1064-3745

Keywords

  • Data-mining
  • Epistasis
  • Gene-gene interactions
  • High-dimensional data
  • Machine learning
  • Multifactor dimensionality reduction
  • R Statistical Software
  • Variable selection

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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  • Cite this

    Winham, S. (2013). Applications of multifactor dimensionality reduction to genome-wide data using the R package 'MDR'. In Genome-Wide Association Studies and Genomic Prediction (pp. 479-498). (Methods in Molecular Biology; Vol. 1019). https://doi.org/10.1007/978-1-62703-447-0-23