GWGGI: software for genome-wide gene-gene interaction analysis.BACKGROUND
 We develop C++ software for genome-wide gene-gene interaction analyses (GWGGI).  GWGGI utilizes tree-based algorithms to search a large number of genetic markers for a disease-associated joint association with the consideration of high-order interactions, and then uses non-parametric statistics to test the joint association.  The use of GWGGI was demonstrated by using two real data-sets with nearly 500 k genetic markers.


 Through the empirical study, we demonstrated that the genome-wide gene-gene interaction analysis using GWGGI could be accomplished within a reasonable time on a personal computer (i.e., ~3.5 hours for LRMW and ~10 hours for TAMW). 
GWGGI
We develop C++ software for genome-wide gene-gene interaction analyses (GWGGI). 
C++ software for genome-wide gene-gene interaction analyses (GWGGI)
The package includes two functions, likelihood ratio Mann-Whitney (LRMW) and Tree Assembling Mann-Whitney (TAMW). 
likelihood ratio Mann-Whitney (LRMW)
The package includes two functions, likelihood ratio Mann-Whitney (LRMW) and Tree Assembling Mann-Whitney (TAMW). 
Tree Assembling Mann-Whitney (TAMW)