2025
Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
Li C, Tian X, Gao S, Wang S, Wang G, Zhao Y, Zhao Y. Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics. Statistics In Medicine 2025, 44: e70069. PMID: 40277222, DOI: 10.1002/sim.70069.Peer-Reviewed Original ResearchConceptsSample relatednessLongitudinal genome-wide association studiesGenome-wide association studiesBrain imaging genetic studiesMultivariate phenotypesGenetic signalsImaging genetics studiesAssociation studiesGenetic studiesGenetic variantsGenetic underpinningsGenetic contributionGenetic effectsRelatednessAdolescent Brain Cognitive DevelopmentBrain functional connectivityFunctional organizationBiological architectureFunctional connectivityRobust inferenceGeneticsPhenotypeAnalytical challengesPosterior inferenceBrain network configurationSemiparametric joint modeling for biomarker trajectory before disease onset
Sun Y, Zhao X, Chan K, Xu W, Allore H, Zhao Y. Semiparametric joint modeling for biomarker trajectory before disease onset. Biometrics 2025, 81: ujaf064. PMID: 40433774, PMCID: PMC12117339, DOI: 10.1093/biomtc/ujaf064.Peer-Reviewed Original ResearchMeSH KeywordsAlzheimer DiseaseApolipoprotein E4BiomarkersBrainComputer SimulationDisease ProgressionHumansMagnetic Resonance ImagingModels, StatisticalConceptsSemiparametric joint modelFinite-sample performanceLarge-sample propertiesConduct simulation studiesBiomarker trajectoriesNatural time scaleJoint modelEstimated regression coefficientsTime-on-studySimulation studyTrajectory functionRegression coefficientsEquationsKernelTime scalesProfile kernel
2024
Bayesian thresholded modeling for integrating brain node and network predictors
Sun Z, Xu W, Li T, Kang J, Alanis-Lobato G, Zhao Y. Bayesian thresholded modeling for integrating brain node and network predictors. Biostatistics 2024, 26: kxae048. PMID: 39780514, PMCID: PMC11823287, DOI: 10.1093/biostatistics/kxae048.Peer-Reviewed Original ResearchConceptsPrediction mechanismNetwork-level metricsExtensive simulationsNetwork predictorPrior modelsSub-networksVector-variantPosterior inferenceNodesSignal patternsPredictable componentBrain nodesSpatial contiguityBayesian regression modelsImagesHierarchyLiterature gapNetworkMetricsCommunicationAlternative approachOut-of-sample predictionsInferenceModelBayesian pathway analysis over brain network mediators for survival data
Tian X, Li F, Shen L, Esserman D, Zhao Y. Bayesian pathway analysis over brain network mediators for survival data. Biometrics 2024, 80: ujae132. PMID: 39530270, PMCID: PMC11555425, DOI: 10.1093/biomtc/ujae132.Peer-Reviewed Original ResearchMeSH KeywordsAlzheimer DiseaseBayes TheoremBrainComputer SimulationHumansModels, StatisticalNerve NetNeuroimagingSurvival AnalysisConceptsAccelerated failure time modelFailure time modelBrain connectivityAlzheimer's Disease Neuroimaging Initiative studyMaximum information extractionResponse regressionBayesian approachInformation extractionTime modelSurvival dataNoisy componentsUnique edgeWhite matter fiber tractsNetwork configurationBrain networksInterconnection networksNetworkNetwork mediatorsBrain
2022
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis
Meng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene E. Simulating time-to-event data subject to competing risks and clustering: A review and synthesis. Statistical Methods In Medical Research 2022, 32: 305-333. PMID: 36412111, PMCID: PMC11654122, DOI: 10.1177/09622802221136067.Peer-Reviewed Original Research
2021
Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data
Zhao Y, Chang C, Hannum M, Lee J, Shen R. Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data. Scientific Reports 2021, 11: 5146. PMID: 33664338, PMCID: PMC7933297, DOI: 10.1038/s41598-021-84514-0.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremCarcinogenesisCluster AnalysisComputational BiologyEpigenomicsGenomicsHumansModels, StatisticalNeoplasmsTranscriptomeConceptsMolecular dataJoint posterior distributionHigh-dimensional settingsVariational Bayes approachSingle-cell dataArt clustering methodsPosterior distributionMolecular profiling dataComputational efficiencyCanonical oncogenicTranscriptomic alterationsBiological discoveryModel inferenceBayes approachCell decompositionStemness phenotypeProfiling dataSingle cellsComputational methodsBulk tumorPathway alterationsNebulaClustering methodAnalysis settingsCell data
2018
Regional vulnerability in Alzheimer's disease: The role of cell‐autonomous and transneuronal processes
Acosta D, Powell F, Zhao Y, Raj A. Regional vulnerability in Alzheimer's disease: The role of cell‐autonomous and transneuronal processes. Alzheimer's & Dementia 2018, 14: 797-810. PMID: 29306583, PMCID: PMC5994366, DOI: 10.1016/j.jalz.2017.11.014.Peer-Reviewed Original Research
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