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Frontiers in Molecular Biosciences|January 4, 2021
Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease PredictionKuncheng Song, Fred A Wright, Yi-Hui ZhouBMC Bioinformatics|November 8, 2022
C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial dataKuncheng Song, Yi-Hui ZhouBioengineering (Basel, Switzerland)|February 25, 2023
Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature EvaluationsKuncheng Song, Yi-Hui ZhouBiostatistics (Oxford, England)|June 5, 2015
The projack: a resampling approach to correct for ranking bias in high-throughput studiesYi-Hui Zhou, Fred A WrightBiostatistics (Oxford, England)|March 21, 2015
Hypothesis testing at the extremes: fast and robust association for high-throughput dataYi-Hui Zhou, Fred A WrightBioinformatics (Oxford, England)|August 4, 2011
A powerful and flexible approach to the analysis of RNA sequence count dataYi-Hui Zhou, Kai Xia, Fred A WrightBiometrics|August 31, 2017
Eigenvalue significance testing for genetic associationYi-Hui Zhou, J S Marron, Fred A WrightBiometrics|April 29, 2017
Computation of ancestry scores with mixed families and unrelated individualsYi-Hui Zhou, James S Marron, Fred A WrightBiometrical Journal. Biometrische Zeitschrift|May 22, 2023
Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two-stage composite likelihoodBryan W Ting, Fred A Wright, Yi-Hui ZhouBiostatistics (Oxford, England)|February 23, 2013
Empirical pathway analysis, without permutationYi-Hui Zhou, William T Barry, Fred A WrightPageof 21