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MiRKAT: kernel machine regression-based global association tests for the microbiome

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SUMMARY 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,… Click to show full abstract

SUMMARY 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. AVAILABILITY AND IMPLEMENTATION MiRKAT is available on CRAN as an R package. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

Keywords: tests microbiome; association; regression based; mirkat kernel; machine regression; kernel machine

Journal Title: Bioinformatics
Year Published: 2021

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