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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.
Package details |
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Author | Hong Zhang and Judong Shen |
Maintainer | Hong Zhang <hzhang@wpi.edu> |
License | GPL-2 |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
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