Spatial rank-based multifactor dimensionality reduction to detect gene–gene interactions for multivariate phenotypes

Spatial rank-based multifactor dimensionality reduction to detect gene–gene interactions for multivariate phenotypes

Background: Identifying interaction effects between genes is one of the main tasks of genome-wide association studies aiming to shed light on the biological mechanisms underlying complex diseases. Multifactor dimensionality reduction (MDR) is a popular approach for detecting gene–gene interactions t...

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Bibliographic Details
Main Authors: Jeong, H.-B (Author), Lee, J.-H (Author), Park, M. (Author), Park, T. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Association reactions
biological model
computer simulation
Computer Simulation
'current
epistasis
Epistasis, Genetic
Fuzzy clustering
Gene-gene interaction
Gene–gene interaction
Genes
Genome-wide association studies
genome-wide association study
Genome-Wide Association Study
Hotelling
Interaction modeling
K-means clustering
Models, Genetic
multifactor dimensionality reduction
Multifactor dimensionality reduction
Multifactor Dimensionality Reduction
Multifactor dimensionality reductions
Non-parametric statistics
phenotype
Phenotype
Polymorphism, Single Nucleotide
Rank Statistics
Reduction
single nucleotide polymorphism
Skewed distribution
Spatial rank statistic
Statistics
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