GMDR 1.0
:: DESCRIPTION
GMDR (Generalized Multifactor Dimensionality Reduction) is a nonparametric and genetic model-free alternative to linear or logistic regression for detecting and characterizing nonlinear interactions among discrete genetic and environmental attributes. Compared with the MDR method (Moore 2004; Ritchie et al. 2001), the GMDR method (Lou et al. 2007) permits adjustment for discrete and quantitative covariates and is applicable to both dichotomous and continuous phenotypes in different population-based study designs. GMDR will increase the precision accuracy and help users draw a more meaningful conclusion.
::DEVELOPER
Xiang-Yang Lou, Ph.D. (XLou@ms.soph.uab.edu)
Guo-Bo Chen, Ph.D. (bchen@ms.soph.uab.edu)
:: SCREENSHOTS
:: REQUIREMENTS
- Windows/Linux/MacOsX
- Java
- Perl
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Chen GB, Xu Y, Xu HM, Li MD, Zhu J, and Lou XY (2011)
Practical and theoretical considerations in study design for detecting gene-gene interactions using MDR and GMDR approaches.
PLoS ONE 6:e16981.