kangar00
Kernel Approaches for Nonlinear Genetic Association Regression
Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) from online databases. It provides functions for data preparation and evaluation of genetic influence on a binary outcome using the logistic kernel machine test (LKMT). Three different kernel functions are offered to analyze genotype information in this variance component test: A linear kernel, a size-adjusted kernel and a network-based kernel).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.2 |
2026-04-09 windows/windows R-4.5 | kangar00_1.4.2.zip |
771.9 KiB |