Record added by Jurg Ott (the original Rockefeller list)
Multifactor Dimensionality Reduction
2.0 beta 6
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.
Jason Moore (email:firstname.lastname@example.org)
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.
Moore, Gilbert, Tsai, Chiang, Holden, Barney, White (2006), “A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility”, Journal of Theoretical Biology, 241:252-261.