GRSxE: Testing Gene-Environment Interactions Through Genetic Risk
Scores
Statistical testing procedures for detecting
GxE (gene-environment) interactions. The main focus lies on
GRSxE interaction tests that aim at detecting GxE interactions
through GRS (genetic risk scores). Moreover, a novel testing
procedure based on bagging and OOB (out-of-bag) predictions is
implemented for incorporating all available observations at
both GRS construction and GxE testing (Lau et al., 2023,
<doi:10.1038/s41598-023-28172-4>).
Version: |
1.0.1 |
Imports: |
glmnet, ranger, stats, utils |
Published: |
2023-10-30 |
Author: |
Michael Lau [aut,
cre] |
Maintainer: |
Michael Lau <michael.lau at hhu.de> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
GRSxE results |
Documentation:
Downloads:
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