MiRKAT: kernel machine regression-based global association tests for the microbiome.
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- Record sourced from PubMed, PMID 33225342.
- Also identified by DOI 10.1093/bioinformatics/btaa951 and PMC identifier 8495888.
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Abstract
Distance-based tests of microbiome beta diversity are an integral part of many microbiome analyses. MiRKAT enables distance-based association testing with a wide variety of outcome types, including continuous, binary, censored time-to-event, multivariate, correlated and high-dimensional outcomes. Omnibus tests allow simultaneous consideration of multiple distance and dissimilarity measures, providing higher power across a range of simulation scenarios. Two measures of effect size, a modified R-squared coefficient and a kernel RV coefficient, are incorporated to allow comparison of effect sizes across multiple kernels. MiRKAT is available on CRAN as an R package. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Microbiota