Robust phylogenetic tree-based microbiome association test using repeatedly measured data for composition bias
With extensive simulation studies, we showed that mTMAT is statistically relatively powerful and is robust to compositional bias. mTMAT enables detection of microbial taxa associated with host diseases using repeatedly measured 16S rRNA gene data and can provide deeper insights into bacterial pathology.
Authors
- Kangjin Kim (ORCID: https://orcid.org/0000-0002-3966-3309)
- Sungho Won (ORCID: https://orcid.org/0000-0001-5751-5089)
Institutions
- Gachon University (KR)
- Seoul National University (KR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1186/s12859-024-06002-2
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Korea National Institute of Health