Yize Zhao, PhD

• Denise Esserman
• Erich J Greene
• Fan Li
• MacKenzie Peltier
• Peter Peduzzi
• Sherry McKee
• Terril Luce
• Walter Roberts
• Xiwen Zhao
• Zhou (Joe) Lan

Mental Health; Biomedical Research; Neuroimaging

Genetics, Genomics, Epigenetics; Bayesian Statistics; Network Analysis

• A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKS.Zhao Y, Kang J, Yu T. A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKS. The Annals Of Applied Statistics 2014, 8: 999-1021. PMID: 25984253, PMCID: PMC4433170, DOI: 10.1214/14-AOAS719.
• Modeling clinical outcome using multiple correlated functional biomarkers: A Bayesian approach.Long Q, Zhang X, Zhao Y, Johnson BA, Bostick RM. Modeling clinical outcome using multiple correlated functional biomarkers: A Bayesian approach. Statistical Methods In Medical Research 2016, 25: 520-37. PMID: 23070593, PMCID: PMC3548954, DOI: 10.1177/0962280212460444.
• Multiple imputation in the presence of high-dimensional data.Zhao Y, Long Q. Multiple imputation in the presence of high-dimensional data. Statistical Methods In Medical Research 2016, 25: 2021-2035. PMID: 24275026, DOI: 10.1177/0962280213511027.
• Bayesian network feature finder (BANFF): an R package for gene network feature selection.Lan Z, Zhao Y, Kang J, Yu T. Bayesian network feature finder (BANFF): an R package for gene network feature selection. Bioinformatics (Oxford, England) 2016, 32: 3685-3687. PMID: 27503223, PMCID: PMC5181536, DOI: 10.1093/bioinformatics/btw522.
• Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence.Zhao Y, Chung M, Johnson BA, Moreno CS, Long Q. Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence. Journal Of The American Statistical Association 2016, 111: 1427-1439. PMID: 28435175, PMCID: PMC5394568, DOI: 10.1080/01621459.2016.1164051.
• Variable Selection in the Presence of Missing Data: Imputation-based Methods.Zhao Y, Long Q. Variable Selection in the Presence of Missing Data: Imputation-based Methods. Wiley Interdisciplinary Reviews. Computational Statistics 2017, 9 PMID: 29085552, PMCID: PMC5659333, DOI: 10.1002/wics.1402.
• Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis.Behzadi AH, Zhao Y, Farooq Z, Prince MR. Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis. Radiology 2018, 286: 471-482. PMID: 28846495, DOI: 10.1148/radiol.2017162740.
• 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 : The Journal Of The Alzheimer's Association 2018, 14: 797-810. PMID: 29306583, PMCID: PMC5994366, DOI: 10.1016/j.jalz.2017.11.014.
• Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data.Zhao Y, Kang J, Long Q. Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data. IEEE/ACM Transactions On Computational Biology And Bioinformatics / IEEE, ACM 2018, 15: 537-550. PMID: 29610102, PMCID: PMC5885321, DOI: 10.1109/TCBB.2015.2440244.
• Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease.Freeze B, Acosta D, Pandya S, Zhao Y, Raj A. Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease. NeuroImage. Clinical 2018, 18: 456-466. PMID: 29868450, PMCID: PMC5984599, DOI: 10.1016/j.nicl.2018.01.009.
• Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data.Sun W, Chang C, Zhao Y, Long Q. Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data. Proceedings : ... IEEE International Conference On Big Data. IEEE International Conference On Big Data 2018, 2018: 1484-1493. PMID: 31041431, PMCID: PMC6486656, DOI: 10.1109/BigData.2018.8622484.
• Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection.Zhao Y, Zhu H, Lu Z, Knickmeyer RC, Zou F. Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection. Genetics 2019, 212: 397-415. PMID: 31010934, PMCID: PMC6553832, DOI: 10.1534/genetics.119.301906.
• Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls.Kim MH, Banerjee S, Zhao Y, Wang F, Zhang Y, Zhu Y, DeFerio J, Evans L, Min Park S, Pathak J. Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls. Journal Of Biomedical Informatics 2018, 87: 88-95. PMID: 30300713, PMCID: PMC6262847, DOI: 10.1016/j.jbi.2018.09.016.
• Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis.Behzadi AH, Zhao Y, Farooq Z, Prince MR. Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis. Radiology 2018, 286: 731. PMID: 29356629, DOI: 10.1148/radiol.2017174037.
• Dentate Nucleus Signal Intensity Decrease on T1-weighted MR Images after Switching from Gadopentetate Dimeglumine to Gadobutrol.Behzadi AH, Farooq Z, Zhao Y, Shih G, Prince MR. Dentate Nucleus Signal Intensity Decrease on T1-weighted MR Images after Switching from Gadopentetate Dimeglumine to Gadobutrol. Radiology 2018, 287: 816-823. PMID: 29533723, DOI: 10.1148/radiol.2018171398.
• Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping.Zhang S, Chiang GC, Knapp JM, Zecca CM, He D, Ramakrishna R, Magge RS, Pisapia DJ, Fine HA, Tsiouris AJ, Zhao Y, Heier LA, Wang Y, Kovanlikaya I. Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping. Journal Of Neuroradiology. Journal De Neuroradiologie 2020, 47: 272-277. PMID: 31136748, PMCID: PMC6876125, DOI: 10.1016/j.neurad.2019.05.002.
• A Systematic Review of 639 Patients with Biopsy-confirmed Nephrogenic Systemic Fibrosis.Attari H, Cao Y, Elmholdt TR, Zhao Y, Prince MR. A Systematic Review of 639 Patients with Biopsy-confirmed Nephrogenic Systemic Fibrosis. Radiology 2019, 292: 376-386. PMID: 31264946, DOI: 10.1148/radiol.2019182916.
• Decreased sphingolipid synthesis in children with 17q21 asthma-risk genotypes.Ono JG, Kim BI, Zhao Y, Christos PJ, Tesfaigzi Y, Worgall TS, Worgall S. Decreased sphingolipid synthesis in children with 17q21 asthma-risk genotypes. The Journal Of Clinical Investigation 2020, 130: 921-926. PMID: 31929190, PMCID: PMC6994114, DOI: 10.1172/JCI130860.
• Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes.Zhao Y, Li T, Zhu H. Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes. Biostatistics (Oxford, England) 2022, 23: 467-484. PMID: 32948880, DOI: 10.1093/biostatistics/kxaa035.
• Pursuing sources of heterogeneity in modeling clustered population.Li Y, Yu C, Zhao Y, Yao W, Aseltine RH, Chen K. Pursuing sources of heterogeneity in modeling clustered population. Biometrics 2021 PMID: 33527347, DOI: 10.1111/biom.13434.
• 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.
• Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.Yingxuan E, Yao X, Liu K, Risacher SL, Saykin AJ, Long Q, Zhao Y, Shen L. Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA ... Annual Symposium Proceedings / AMIA Symposium. AMIA Symposium 2020, 2020: 422-431. PMID: 33936415, PMCID: PMC8075527.
• Identifying imaging genetic associations via regional morphometricity estimation.Bao J, Wen Z, Kim M, Saykin AJ, Thompson PM, Zhao Y, Shen L. Identifying imaging genetic associations via regional morphometricity estimation. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing 2022, 27: 97-108. PMID: 34890140, PMCID: PMC8730533.
• Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data.Bao J, Wen Z, Kim M, Zhao X, Lee BN, Jung SH, Davatzikos C, Saykin AJ, Thompson PM, Kim D, Zhao Y, Shen L. Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing 2022, 27: 109-120. PMID: 34890141, PMCID: PMC8730532.
• Bayesian interaction selection model for multimodal neuroimaging data analysis.Zhao Y, Wu B, Kang J. Bayesian interaction selection model for multimodal neuroimaging data analysis. Biometrics 2022 PMID: 35220581, DOI: 10.1111/biom.13648.
• A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks.Li F, Lu W, Wang Y, Pan Z, Greene EJ, Meng G, Meng C, Blaha O, Zhao Y, Peduzzi P, Esserman D. A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks. Statistical Methods In Medical Research 2022, 31: 1224-1241. PMID: 35290139, DOI: 10.1177/09622802221085080.
• A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits.Zhao Y, Zhao X, Kim M, Bao J, Shen L. A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. Medical Image Computing And Computer-assisted Intervention : MICCAI ... International Conference On Medical Image Computing And Computer-Assisted Intervention 2021, 12905: 678-687. PMID: 35299630, PMCID: PMC8922551, DOI: 10.1007/978-3-030-87240-3_65.
• Using machine learning to predict heavy drinking during outpatient alcohol treatment.Roberts W, Zhao Y, Verplaetse T, Moore KE, Peltier MR, Burke C, Zakiniaeiz Y, McKee S. Using machine learning to predict heavy drinking during outpatient alcohol treatment. Alcoholism, Clinical And Experimental Research 2022, 46: 657-666. PMID: 35420710, DOI: 10.1111/acer.14802.