Get started
Work

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

Year: 2020
Type: article
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.
DOI: 10.1093/bioinformatics/btaa951
Authors: Nehemiah Wilson, Ni Zhao, Xiang Zhan, Hyunwook Koh, Weijia Fu, Jun Chen, Hongzhe Li, Michael C Wu, Anna M Plantinga
Institutions: Williams College, Johns Hopkins University, Pennsylvania State University, SUNY Korea, University of Washington, Institute for Health Metrics and Evaluation, Mayo Clinic, University of Pennsylvania, Fred Hutch Cancer Center
Language: English
Open Access status: bronze
OpenAlex ID: W3094760686
FWCI: 1.624
Cites: 12
Cited by: 43
Related to: 10