MDR 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). The MDR software combines attribute selection, attribute construction and classification with cross-validation to provide a powerful approach to modeling interactions.
- Windows / Linux / MacOsX
:: MORE INFORMATION
Ritchie, Hahn, Roodi, Bailey, Dupont, Parl, Moore (2001),
“Multifactorial dimensionality reduction reveals high-order interactions among estrogen metabolism genes in sporadic breat cancer“,
American Journal of Human Genetics, 69:138-147.