2020
Statistical Methods in Genome-Wide Association Studies
Sun N, Zhao H. Statistical Methods in Genome-Wide Association Studies. Annual Review Of Biomedical Data Science 2020, 3: 1-24. DOI: 10.1146/annurev-biodatasci-030320-041026.Peer-Reviewed Original ResearchGenome-wide association studiesAssociation studiesTraits of interestGenetic architectureIdentification of variantsGWAS dataStatistical methodologyStatistical challengesGenetic risk prediction modelsGenetic markersStatistical methodsHuman diseasesPhenotype informationGenetic variantsTraitsGenotype informationScientific goalsRecent progressGenesVariantsTens of thousandsHundreds of thousandsPrediction modelPathwayThousands
2019
Prediction analysis for microbiome sequencing data
Wang T, Yang C, Zhao H. Prediction analysis for microbiome sequencing data. Biometrics 2019, 75: 875-884. PMID: 30994187, DOI: 10.1111/biom.13061.Peer-Reviewed Original ResearchConceptsMonte Carlo expectation-maximization algorithmInverse regression modelReal data exampleTypes of covariatesNew statistical frameworkMaximum likelihood estimationExpectation-maximization algorithmDimension reduction structureInverse regressionStatistical frameworkData examplesStatistical challengesLikelihood estimationMicrobiome sequencing dataHuman microbiome studiesHuman microbiome compositionDifferent library sizesZerosPredictive analysisModelEstimationAlgorithmSimulationsRegression modelsFramework
2017
Structured subcomposition selection in regression and its application to microbiome data analysis
Wang T, Zhao H. Structured subcomposition selection in regression and its application to microbiome data analysis. The Annals Of Applied Statistics 2017, 11: 771-791. DOI: 10.1214/16-aoas1017.Peer-Reviewed Original ResearchRegularization methodLinear log contrast modelGeneralized lasso problemLog-contrast modelNovel penalty functionMicrobiome data analysisCompositional covariatesOptimization problemLasso problemHigher dimensionsStatistical challengesPenalty functionPractical problemsSymmetric versionTree structure informationSubtree levelProblemPrior knowledgeTree structureSubcompositionsCompositional dataSuch dataStructure informationData analysisNodes
2008
Bayesian Mass Spectra Peak Alignment from Mass Charge Ratios
Liu J, Yu W, Wu B, Zhao H. Bayesian Mass Spectra Peak Alignment from Mass Charge Ratios. Cancer Informatics 2008, 6: 117693510800600006. DOI: 10.4137/117693510800600006.Peer-Reviewed Original Research