Figure 1.

A schematic representation of the genetic ensemble algorithm. Multiple classifiers are integrated for gene-gene and gene-environment interaction identification. Genetic algorithm is employed to select SNP subsets that represent potential gene-gene and gene-environment interactions. After a pre-defined iterations of n, a total of n selected SNP subsets are ranked in a combinatorial manner. Each SNP combination is then assigned an identification frequency score based on the proportion of times this SNP combination is present among the n subsets. A SNP combination is called a functional SNP combination if it is highly ranked or if its frequency score is above a specified threshold.

Yang et al. BMC Bioinformatics 2010 11:524   doi:10.1186/1471-2105-11-524
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