MDR MDR - Nonparametric alternative to logistic regression for detecting and characterizing nonlinear interactions
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MDR Description

MDR - Nonparametric alternative to logistic regression for detecting and characterizing nonlinear interactions MDR (Multifactor Dimensionality Reduction) is a data mining strategy for detecting and characterizing nonlinear interactions among discrete attributes (e.g. SNPs, smoking, gender, etc.) that are predictive of a discrete outcome (e.g. case-control status). MDR is a genetic and nonparametric model-free data mining alternative to logistic regression for characterizing and detecting nonlinear interactions among discrete genetic and environmental attributes.The MDR method combines attribute selection, attribute construction, and classification with cross-validation and permutation testing to provide a comprehensive and powerful approach to detecting nonlinear interactions.

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