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

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

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
Volume1019
DOIs
StatePublished - 2013

Publication series

NameMethods in Molecular Biology
Volume1019
ISSN (Print)10643745

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Multifactor Dimensionality Reduction
Genome
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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

Cite this

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

Applications of multifactor dimensionality reduction to genome-wide data using the R package 'MDR'. / Winham, Stacey J.

Genome-Wide Association Studies and Genomic Prediction. Vol. 1019 2013. p. 479-498 (Methods in Molecular Biology; Vol. 1019).

Research output: Chapter in Book/Report/Conference proceedingChapter

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