ArticleBioData mining2011
An R package implementation of multifactor dimensionality reduction.
Article in BioData mining, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Association of Genetic Polymorphisms with Gestational Diabetes in a Kazakh Population: A Case-Control Study.Diagnostics (Basel, Switzerland) · 2026Article
- Association of Genetic Polymorphisms with Complications of Implanted LVAD Devices in Patients with Congestive Heart Failure: A Kazakhstani Study.Journal of personalized medicine · 2022Article
- Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury.International journal of environmental research and public health · 2021Article
- Article
- Association Mapping and Development of Marker-Assisted Selection Tools for the Resistance to White Pine Blister Rust in the Alberta Limber Pine Populations.Frontiers in plant science · 2020Article
- Robust genetic interaction analysis.Briefings in bioinformatics · 2019Review
- A roadmap to multifactor dimensionality reduction methods.Briefings in bioinformatics · 2016Review
- Application of computational methods in genetic study of inflammatory bowel disease.World journal of gastroenterology · 2016Review
- Polymorphisms in key pulmonary inflammatory pathways and the development of acute respiratory distress syndrome.Experimental lung research · 2015Article
- Detecting epistasis in human complex traits.Nature reviews. Genetics · 2014Review
- Differential association of RANTES-403 and IL-1B-1464 polymorphisms on histological subtypes in male Korean patients with gastric cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Article
- Gene-environment interactions in genome-wide association studies: current approaches and new directions.Journal of child psychology and psychiatry, and allied disciplines · 2013Review
- Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction.BioData mining · 2013Article
- A comparison of internal model validation methods for multifactor dimensionality reduction in the case of genetic heterogeneity.BMC research notes · 2012Article
- Evaluation of polymorphisms in the sulfonamide detoxification genes NAT2, CYB5A, and CYB5R3 in patients with sulfonamide hypersensitivity.Pharmacogenetics and genomics · 2012Article
- Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes.BioData mining · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.