Composite Kernel Association Test (CKAT) is a flexible and robust kernel machine based approach to jointly test the genetic main effect and gene-treatment interaction effect for a set of single-nucleotide polymorphisms (SNPs) in pharmacogenetics (PGx) assessments embedded within randomized clinical trials.
|Author||Hong Zhang and Judong Shen|
|Maintainer||Hong Zhang <email@example.com>|
|Package repository||View on CRAN|
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