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Yize Zhao
Yize Zhao
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Title
Cited by
Cited by
Year
Immediate allergic reactions to gadolinium-based contrast agents: a systematic review and meta-analysis
AH Behzadi, Y Zhao, Z Farooq, MR Prince
Radiology 286 (2), 471-482, 2018
1552018
Data-driven subtyping of Parkinson’s disease using longitudinal clinical records: a cohort study
X Zhang, J Chou, J Liang, C Xiao, Y Zhao, H Sarva, C Henchcliffe, ...
Scientific reports 9 (1), 797, 2019
1472019
A systematic review of 639 patients with biopsy-confirmed nephrogenic systemic fibrosis
H Attari, Y Cao, TR Elmholdt, Y Zhao, MR Prince
Radiology 292 (2), 376-386, 2019
1002019
Multiple imputation in the presence of high-dimensional data
Y Zhao, Q Long
Statistical Methods in Medical Research 25 (5), 2021-2035, 2016
772016
Decreased sphingolipid synthesis in children with 17q21 asthma–risk genotypes
JG Ono, BI Kim, Y Zhao, PJ Christos, Y Tesfaigzi, TS Worgall, S Worgall
The Journal of clinical investigation 130 (2), 921-926, 2020
562020
Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease
B Freeze, D Acosta, S Pandya, Y Zhao, A Raj
NeuroImage: Clinical 18, 456-466, 2018
532018
Variable selection in the presence of missing data: Imputation‐based methods
Y Zhao, Q Long
Wiley Interdisciplinary Reviews: Computational Statistics 9 (5), e1402, 2017
382017
Dentate nucleus signal intensity decrease on T1-weighted MR images after switching from gadopentetate dimeglumine to gadobutrol
AH Behzadi, Z Farooq, Y Zhao, G Shih, MR Prince
Radiology 287 (3), 816-823, 2018
352018
The use of noncontrast quantitative MRI to detect gadolinium-enhancing multiple sclerosis brain lesions: a systematic review and meta-analysis
A Gupta, K Al-Dasuqi, F Xia, G Askin, Y Zhao, D Delgado, Y Wang
American Journal of Neuroradiology 38 (7), 1317-1322, 2017
312017
Very high-dose cholecalciferol and arteriovenous fistula maturation in ESRD: a randomized, double-blind, placebo-controlled pilot study
H Wasse, R Huang, Q Long, Y Zhao, S Singapuri, W McKinnon, ...
The journal of vascular access 15 (2), 88-94, 2014
282014
Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping
S Zhang, GCY Chiang, JM Knapp, CM Zecca, D He, R Ramakrishna, ...
Journal of Neuroradiology 47 (4), 272-277, 2020
252020
Hierarchical feature selection incorporating known and novel biological information: identifying genomic features related to prostate cancer recurrence
Y Zhao, M Chung, BA Johnson, CS Moreno, Q Long
Journal of the American Statistical Association 111 (516), 1427-1439, 2016
202016
Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions
S Zhang, TD Nguyen, Y Zhao, SA Gauthier, Y Wang, A Gupta
NeuroImage: Clinical 18, 143-148, 2018
182018
A Bayesian nonparametric mixture model for selecting genes and gene subnetworks
Y Zhao, J Kang, T Yu
The annals of applied statistics 8 (2), 999, 2014
152014
Bayesian network feature finder (BANFF): an R package for gene network feature selection
Z Lan, Y Zhao, J Kang, T Yu
Bioinformatics 32 (23), 3685-3687, 2016
132016
Structured genome-wide association studies with Bayesian hierarchical variable selection
Y Zhao, H Zhu, Z Lu, RC Knickmeyer, F Zou
Genetics 212 (2), 397-415, 2019
122019
Knowledge-guided bayesian support vector machine for high-dimensional data with application to analysis of genomics data
W Sun, C Chang, Y Zhao, Q Long
2018 IEEE International Conference on Big Data (Big Data), 1484-1493, 2018
122018
Bayesian multiresolution variable selection for ultra-high dimensional neuroimaging data
Y Zhao, J Kang, Q Long
IEEE/ACM transactions on computational biology and bioinformatics 15 (2 …, 2015
122015
Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data
Y Zhao, C Chang, M Hannum, J Lee, R Shen
Scientific reports 11 (1), 5146, 2021
112021
Knowledge-guided statistical learning methods for analysis of high-dimensional-omics data in precision oncology
Y Zhao, C Chang, Q Long
JCO Precision Oncology 3, 1-9, 2019
112019
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Articles 1–20