:warning: Note these source codes are purely for review and reproducibility purposes. Users interested in running the overall pipeline should proceed to the main GhostKnockoffGWAS page.
In a series of three papers, we show how the GhostKnockoff framework enables a knockoff-based analysis of GWAS summary statistics data with enhanced power compared to standard GWAS pipelines (e.g. LMM + SuSiE). The main methodology is described in the following papers
For questions regarding this repo, please reach out to Zihuai He (zihuai@stanford.edu
), Benjamin Chu (bbchu@stanford.edu
), or Zhaomeng Chen (zc313@stanford.edu
).