GBDCorTest: Gene-based gene-gene interaction via distance correlation...
In fhebert/GeneGeneInteractions2: Global tests for the detection of gene-gene interaction effects on binary phenotypes
Description
Usage
Arguments
Value
References
Description
GBDCorTest computes the p-value of the GBDcor test based on the distance correlation coefficient. See Guo et al, 2018 for more details.
Usage
1
GBDCorTest(X1, X2, Y, Y0)
Arguments
X1
a n x p1 matrix of genotypes (coded as 0/1/2)
X2
a n x p2 matrix of genotypes (coded as 0/1/2)
Y
a vector of length n containing the values of the binary phenotype (0/1)
Y0
a matrix containing permutations of the phenotype Y in its columns
Value
The p-value of the GBDcor test.
References
Guo, Y., Wu, C., Guo, M., Liu, X., & Keinan, A. (2018). Gene-Based Nonparametric Testing of Interactions Using Distance Correlation Coefficient in Case-Control Association Studies. Genes, 9(12), 608.
fhebert/GeneGeneInteractions2 documentation built on May 19, 2019, 12:36 a.m.
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Description Usage Arguments Value References
Description
GBDCorTest computes the p-value of the GBDcor test based on the distance correlation coefficient. See Guo et al, 2018 for more details.
Usage
1 | GBDCorTest(X1, X2, Y, Y0)
|
Arguments
X1 |
a n x p1 matrix of genotypes (coded as 0/1/2) |
X2 |
a n x p2 matrix of genotypes (coded as 0/1/2) |
Y |
a vector of length n containing the values of the binary phenotype (0/1) |
Y0 |
a matrix containing permutations of the phenotype |
Value
The p-value of the GBDcor test.
References
Guo, Y., Wu, C., Guo, M., Liu, X., & Keinan, A. (2018). Gene-Based Nonparametric Testing of Interactions Using Distance Correlation Coefficient in Case-Control Association Studies. Genes, 9(12), 608.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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