ZINQ-L: a zero-inflated quantile approach for differential abundance analysis of longitudinal microbiome data
ZINQ-L is a zero-inflated quantile-based approach for detecting individual taxa associated with outcomes or exposures in longitudinal microbiome studies, providing a robust and powerful option to improve and complement the existing methods in the field.
Authors
- Runzhe Li (ORCID: https://orcid.org/0000-0002-7851-5392)
- Ni Zhao (ORCID: https://orcid.org/0000-0002-7762-3949)
- Wodan Ling (ORCID: https://orcid.org/0000-0001-7196-8543)
- Shuai Li (ORCID: https://orcid.org/0000-0003-1977-1035)
- John R. Lee (ORCID: https://orcid.org/0000-0002-9612-5742)
Institutions
- NewYork–Presbyterian Hospital (US)
- Johns Hopkins University (US)
- Cornell University (US)
- New York Hospital Queens (US)
- Presbyterian Hospital (US)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-01-29
- DOI
- https://doi.org/10.3389/fgene.2024.1494401
- Citations
- 1
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- BioFire Diagnostics
- National Institutes of Health
- National Heart, Lung, and Blood Institute
- National Institute of General Medical Sciences
- National Institute of Allergy and Infectious Diseases