The aSPC test designed to test global association between two groups of variables potentially with high dimension (in hundreds or few thousands), and aSPC is particularlly useful when the association signal between two groups of variables is sparse. References: 1) Xu Z., Pan W. An adaptive and powerful test for two groups of variables with high dimension. 2016. To be submitted. 2) Kim J, Zhang Y, Pan W. Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associa- tions with GWAS and Sequencing Data. Genetics, 2016, 203(2): 715-731.
|Author||Zhiyuan (Jason) Xu and Wei Pan|
|Maintainer||Zhiyuan (Jason) Xu <firstname.lastname@example.org>|
|Package repository||View on GitHub|
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