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Koh, Hyunwook

https://orcid.org/0000-0001-6893-7164

Mayo Clinic

SUNY Korea

Citations 1

MiRKAT: kernel machine regression-based global association tests for the microbiome
Wilson, Nehemiah, Zhao, Ni , Zhan, Xiang , Koh, Hyunwook , Fu, Weijia , Chen, Jun , Wu, Michael C. , Plantinga, Anna , Wu, Michael C , Zhao, Ni , Li, Hongzhe

Bioinformatics | October 28, 2020 | Volume: 37 | Issue: 11 | Pages: 1595-1597

10.1093/bioinformatics/btaa951 Get It

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.