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In biomedical studies,dependence network among a large set of variables implies important scientific information,such as how genes interact with each other.Many existing methods to infer high-dimensional sparse de-pendence network focus on measuring linear association or rank association,which cannot always fully capture the dependence of interest.In this pa-per,we develop novel testing and multiple testing methods to test arbitrary dependence.