MDR 1.2.5 / 2.0 Beta 8.4 Description:
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. 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.