GEInfo: Gene-Environment Interaction Analysis Incorporating Prior
Information
Realize three approaches for Gene-Environment interaction analysis. All of them adopt Sparse Group Minimax Concave Penalty to identify important G variables and G-E interactions, and simultaneously respect the hierarchy between main G and G-E interaction effects. All the three approaches are available for Linear, Logistic, and Poisson regression. Also realize to mine and construct prior information for G variables and G-E interactions.
| Version: |
1.0 |
| Imports: |
MASS, glmnet, stats, rvest, dplyr, pheatmap, grDevices, graphics |
| Published: |
2022-01-10 |
| Author: |
Xiaoyan Wang, Hongduo Liu, and Shuangge Ma |
| Maintainer: |
Xiaoyan Wang <xywang at hnu.edu.cn> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: |
no |
| CRAN checks: |
GEInfo results |
Documentation:
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