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BioData Mining

, 4:24

First Online: 16 August 2011Received: 23 May 2011Accepted: 16 August 2011

Abstract

BackgroundA breadth of high-dimensional data is now available with unprecedented numbers of genetic markers and data-mining approaches to variable selection are increasingly being utilized to uncover associations, including potential gene-gene and gene-environment interactions. One of the most commonly used data-mining methods for case-control data is Multifactor Dimensionality Reduction MDR, which has displayed success in both simulations and real data applications. Additional software applications in alternative programming languages can improve the availability and usefulness of the method for a broader range of users.

ResultsWe introduce a package for the R statistical language to implement the Multifactor Dimensionality Reduction MDR method for nonparametric variable selection of interactions. This package is designed to provide an alternative implementation for R users, with great flexibility and utility for both data analysis and research. The -MDR- package is freely available online at http:-www.r-project.org-. We also provide data examples to illustrate the use and functionality of the package.

ConclusionsMDR is a frequently-used data-mining method to identify potential gene-gene interactions, and alternative implementations will further increase this usage. We introduce a flexible software package for R users.

Electronic supplementary materialThe online version of this article doi:10.1186-1756-0381-4-24 contains supplementary material, which is available to authorized users.

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Author: Stacey J Winham - Alison A Motsinger-Reif

Source: https://link.springer.com/



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