Second-order group knockoffs with applications to genome-wide association studies
The described algorithms are implemented in an open-source Julia package Knockoffs.jl. R and Python wrappers are available as knockoffsr and knockoffspy packages.
Authors
- Zhaomeng Chen (ORCID: https://orcid.org/0000-0001-5160-1883)
- Benjamin B. Chu (ORCID: https://orcid.org/0000-0001-8342-2361)
- Zihuai He (ORCID: https://orcid.org/0000-0002-8220-4183)
- Chiara Sabatti (ORCID: https://orcid.org/0000-0001-5829-9058)
- Emmanuel J. Candès (ORCID: https://orcid.org/0000-0001-9234-924X)
- Jiaqi Gu (ORCID: https://orcid.org/0000-0002-8773-9558)
- Tim Morrison
Institutions
- Quantitative BioSciences (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1093/bioinformatics/btae580
- Citations
- 5
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 2.75
Funders
- National Science Foundation
- National Institutes of Health
- National Institute on Aging
- Office of Naval Research