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MDR was developed to facilitate the detection, characterization, and interpretation of gene-gene interactions or epistasis. It uses a novel constructive induction algorithm to detect nonlinear interactions among discrete attributes.
What is MDR?
Multifactor Dimensionality Reduction (MDR) is a nonparametric and genetic model-free alternative to logistic regression for detecting and characterizing nonlinear interactions among discrete genetic and environmental attributes. The MDR method combines attribute selection, attribute construction, classification, cross-validation and visualization to provide a comprehensive and powerful data mining approach to detecting, characterizing, and interpreting nonlinear interactions.
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