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1 Introduction In this paper, we present a method to quickly and efficiently detect and select interaction effects in large data sets. In addition to the main effects, interaction effects are often of great relevance, for instance, when detecting associations of interacting genetic variations with certain diseases or physical conditions (Li et al. 2014).
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