Zim4rv: an R package to modeling zero-inflated count phenotype on regional-based rare variants
The R package ZIM4rv presents an integrated workflow for conducting association tests on a set of rare variants with zero-inflated counts data.
Authors
- Qiao Fan (ORCID: https://orcid.org/0000-0002-2762-8346)
- Yi‐Ju Li (ORCID: https://orcid.org/0000-0001-6996-4834)
- Xiaomin Liu
Institutions
- National University of Singapore (SG)
- Duke University (US)
- Duke-NUS Medical School (SG)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1186/s12859-024-06029-5
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Rush University
- Duke-NUS Medical School
- Ministry of Education, India
- National Supercomputing Centre Singapore
- National Institutes of Health
- National Institute on Aging